{"id":11109,"date":"2026-06-17T16:24:00","date_gmt":"2026-06-17T14:24:00","guid":{"rendered":"https:\/\/emg2.com\/?p=11109"},"modified":"2026-06-24T13:44:13","modified_gmt":"2026-06-24T11:44:13","slug":"motors-and-actuators-motion-precision","status":"publish","type":"post","link":"https:\/\/emg2.com\/en\/motors-and-actuators-motion-precision\/","title":{"rendered":"Motors and Actuators: Motion Precision"},"content":{"rendered":"\n<p>Did you know that an FPGA-based servo system can achieve latency as low as one microsecond\u2014fifty times less than a conventional CPU implementation? This extreme responsiveness is the cornerstone of high-performance PID control in the most demanding industrial environments of 2026. For many engineers, the transition between mathematical theory and embedded code remains a major technical challenge. A poorly managed overshoot risks damaging your critical equipment, while an unstable loop in a noisy environment compromises the precision of your manufacturing processes.<\/p>\n\n\n\n<p>We understand that system stability is a strategic priority to maintain your competitive advantage. This technical guide is designed to help you transform complex equations into concrete, robust, and highly efficient solutions. You will discover how to master the influence of each parameter (P, I, D) and apply reliable tuning methods to guarantee absolute precision, even under severe operational constraints.<\/p>\n\n\n\n<p>Through this analysis, we will explore the fundamentals of servo control, optimization protocols, and the selection of hardware architectures best suited to your needs. Whether it involves microcontrollers or cutting-edge MPSoC targets, you will gain a complete architectural vision to build systems of exemplary reliability.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f, .wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f[data-kb-block=\"kb-adv-heading11109_a256ad-7f\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f[data-kb-block=\"kb-adv-heading11109_a256ad-7f\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_a256ad-7f[data-kb-block=\"kb-adv-heading11109_a256ad-7f\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading11109_a256ad-7f wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_a256ad-7f\"><strong>Key Points<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Grasp the fundamental role of the feedback loop to ensure stability and precision in your critical servo systems.<\/li>\n\n\n\n<li>Master the specific influence of Proportional, Integral, and Derivative actions to optimize PID control and eliminate steady-state errors.<\/li>\n\n\n\n<li>Identify the decisive advantages of FPGA architectures over CPUs to reduce latency and eliminate real-time jitter.<\/li>\n\n\n\n<li>Apply rigorous tuning methods, from Ziegler-Nichols to auto-tuning, to stabilize your regulation loops without risk of overshoot.<\/li>\n\n\n\n<li>Select suitable hardware and mechanical components to effectively translate your mathematical models into concrete operational performance.<\/li>\n<\/ul>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91, .wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91[data-kb-block=\"kb-adv-heading11109_5e8d23-91\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91[data-kb-block=\"kb-adv-heading11109_5e8d23-91\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_5e8d23-91[data-kb-block=\"kb-adv-heading11109_5e8d23-91\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading11109_5e8d23-91 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_5e8d23-91\"><strong>Table of Contents<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"#what-is-pid-control-definition-and-role-in-industry\">What is PID Control? Definition and Role in Industry<\/a><\/li>\n\n\n\n<li><a href=\"#the-three-pillars-of-the-pid-controller-p-i-and-d-Explained\">The Three Pillars of the PID Controller: P, I, and D Explained<\/a><\/li>\n\n\n\n<li><a href=\"#hardware-implementation-why-the-fpga-surpasses-the-cpu\">Hardware Implementation: Why the FPGA Surpasses the CPU?<\/a><\/li>\n\n\n\n<li><a href=\"#tuning-methods-from-ziegler-nichols-to-auto-tuning\">Tuning Methods: From Ziegler-Nichols to Auto-tuning<\/a><\/li>\n\n\n\n<li><a href=\"#emg2-solutions-for-high-precision-motion-control\">EMG2 Solutions for High-Precision Motion Control<\/a><\/li>\n<\/ul>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6, .wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6[data-kb-block=\"kb-adv-heading11109_5b6b63-e6\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6[data-kb-block=\"kb-adv-heading11109_5b6b63-e6\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_5b6b63-e6[data-kb-block=\"kb-adv-heading11109_5b6b63-e6\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 id=\"what-is-pid-control-definition-and-role-in-industry\" class=\"kt-adv-heading11109_5b6b63-e6 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_5b6b63-e6\"><strong>What is PID Control? Definition and Role in Industry<\/strong><\/h2>\n\n\n\n<p><strong>PID control <\/strong>has established itself as the indispensable industrial standard for driving dynamic systems with millimeter precision. Its architecture relies on a feedback loop that continuously compares a desired setpoint with the actual field measurement. This mechanism adjusts the command in real-time to cancel out the system error. Unlike binary on\/off regulation, which causes brutal oscillations and premature mechanical fatigue, the <a href=\"https:\/\/en.wikipedia.org\/wiki\/PID_controller\">PID controller<\/a> offers a smooth, gradual response. This software modularity explains why it still dominates the automation market, whose global valuation had already reached \u20ac4.06 billion in 2025.<\/p>\n\n\n\n<p>The effectiveness of PID lies in its ability to anticipate and correct disturbances without requiring an exhaustive mathematical model of the physical system. It is a versatile tool that combines the brute force of reactivity with the finesse of stabilization. In an industrial context where profitability depends on reducing scrap and optimizing energy, mastering this servo loop becomes a major strategic asset for any embedded systems designer.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28, .wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28[data-kb-block=\"kb-adv-heading11109_547e9f-28\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28[data-kb-block=\"kb-adv-heading11109_547e9f-28\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_547e9f-28[data-kb-block=\"kb-adv-heading11109_547e9f-28\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_547e9f-28 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_547e9f-28\"><strong>The Components of the Error Signal<\/strong><\/h3>\n\n\n\n<p>At the heart of the mechanism, the error signal represents the strict difference between the setpoint and the process variable. The controller analyzes this deviation from three different temporal angles: <strong>the present (Proportional), the past (Integral), and the probable future (Derivative)<\/strong>. Historically, these calculations were entrusted to bulky pneumatic or analog regulators. Today, the transition to high-performance digital processing allows this data to be handled with exceptional resolution. The evolution towards advanced silicon architectures now allows error management at sampling frequencies previously unattainable, ensuring perfect fidelity to the theoretical model.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef, .wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef[data-kb-block=\"kb-adv-heading11109_3d830f-ef\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef[data-kb-block=\"kb-adv-heading11109_3d830f-ef\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_3d830f-ef[data-kb-block=\"kb-adv-heading11109_3d830f-ef\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_3d830f-ef wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_3d830f-ef\"><strong>Critical Application Areas in 2026<\/strong><\/h3>\n\n\n\n<p>In 2026, performance requirements are pushing <strong>PID control<\/strong> to new heights of complexity. In the defense and aerospace sectors, it ensures the stabilization of optronic systems and mobile communication platforms where even the slightest jitter is prohibited. Semiconductor manufacturing also relies on this technology for ultra-precise thermal regulation in deposition chambers, where a drift of a fraction of a degree can compromise a wafer&#8217;s integrity. Finally, SDR network management and 5G infrastructures use these algorithms to stabilize oscillators and ensure perfect time synchronization between network nodes, proving that PID is more than ever a pillar of modern engineering.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5, .wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5[data-kb-block=\"kb-adv-heading11109_7c07f5-c5\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5[data-kb-block=\"kb-adv-heading11109_7c07f5-c5\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_7c07f5-c5[data-kb-block=\"kb-adv-heading11109_7c07f5-c5\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 id=\"the-three-pillars-of-the-pid-controller-p-i-and-d-Explained\" class=\"kt-adv-heading11109_7c07f5-c5 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_7c07f5-c5\"><strong>The Three Pillars of the PID Controller: P, I, and D Explained<\/strong><\/h2>\n\n\n\n<p>To achieve operational excellence, <strong>PID control<\/strong> breaks down correction into three complementary vectors. The\u00a0<strong>Proportional Action (P)<\/strong>\u00a0acts as the first power lever. The larger the error, the stronger the correction. This defines the system&#8217;s responsiveness. However, too high a proportional gain systematically causes an overshoot and can make the mechanism unstable. Conversely, a gain that is too low leaves a permanent residual error that prevents reaching the exact target.<\/p>\n\n\n\n<p>The&nbsp;<strong>Integral Action (I)<\/strong>&nbsp;then steps in to correct this flaw. By accumulating the error over time, it forces the system to eliminate the steady-state error. This guarantees perfect positioning or temperature accuracy over the long term. Finally, the&nbsp;<strong>Derivative Action (D)<\/strong>&nbsp;brings an indispensable predictive dimension. It analyzes the rate of change of the error to anticipate deceleration before reaching the setpoint. This component is vital for damping oscillations, although it must be handled with care as it is extremely sensitive to measurement noise from sensors.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11, .wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11[data-kb-block=\"kb-adv-heading11109_9dd89e-11\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11[data-kb-block=\"kb-adv-heading11109_9dd89e-11\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_9dd89e-11[data-kb-block=\"kb-adv-heading11109_9dd89e-11\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_9dd89e-11 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_9dd89e-11\"><strong>The Driver Analogy to Visualize the PID<\/strong><\/h3>\n\n\n\n<p>Imagine a driver approaching a sharp turn. The Proportional component corresponds to the distance to the curve: the farther away they are, the more they maintain speed; the closer they get, the more they react. The Integral action represents the accumulated correction if the vehicle continually drifts toward the shoulder, forcing the driver to re-center their trajectory to stay perfectly in the middle of the lane. The Derivative part, meanwhile, is like the speed at which they turn the steering wheel: if they see the turn tightening abruptly, they steer faster to compensate for the vehicle&#8217;s inertia and avoid running off the road.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d, .wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d[data-kb-block=\"kb-adv-heading11109_92bafc-1d\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d[data-kb-block=\"kb-adv-heading11109_92bafc-1d\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_92bafc-1d[data-kb-block=\"kb-adv-heading11109_92bafc-1d\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_92bafc-1d wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_92bafc-1d\"><strong>Impact on System Stability<\/strong><\/h3>\n\n\n\n<p>The tuning of these parameters directly influences the rise time and settling time. A recurring challenge for engineers is the phenomenon of integral saturation, or anti-windup. When the actuator reaches its physical limit, such as maximum voltage, the error continues to accumulate in the integral term, causing a massive delay when returning to normal. To limit these undesirable effects, integrating <a href=\"https:\/\/emg2.com\/en\/solutions\/motion-control-energy\/\">high-performance motors and encoders<\/a> provides return data of great purity, facilitating the adjustment of the derivative term without amplifying electronic noise.<\/p>\n\n\n\n<p>A rigorous frequency analysis shows that the balance between these three forces is precarious. Excessive dominance of the derivative parameter can turn slight sensor noise into destructive vibrations for the mechanics. Mastering this balance is what distinguishes simple automation from critical servo control capable of meeting the industrial demands of 2026.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6, .wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6[data-kb-block=\"kb-adv-heading11109_b2c88a-d6\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6[data-kb-block=\"kb-adv-heading11109_b2c88a-d6\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_b2c88a-d6[data-kb-block=\"kb-adv-heading11109_b2c88a-d6\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 id=\"hardware-implementation-why-the-fpga-surpasses-the-cpu\" class=\"kt-adv-heading11109_b2c88a-d6 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_b2c88a-d6\"><strong>Hardware Implementation: Why the FPGA Surpasses the CPU?<\/strong><\/h2>\n\n\n\n<p>The choice of hardware architecture defines the physical limit of your servo control performance. For a standard <strong>PID control<\/strong>, a conventional microcontroller may suffice. However, as soon as real-time requirements become critical, the FPGA stands out as the reference solution. An FPGA implementation achieves processing latencies close to one microsecond, whereas a CPU often exhibits 50 microseconds of latency. This massive gap is not just a technical statistic; it represents the boundary between a perfectly stable loop and a system subject to destructive resonances.<\/p>\n\n\n\n<p>The FPGA&#8217;s major advantage lies in its intrinsic parallelism. Unlike a processor that executes instructions sequentially, the FPGA dedicates specific hardware resources to each function. This structure allows managing dozens of regulation loops simultaneously without any temporal jitter. This deterministic rigor is essential for defense applications or high-precision robotics, where every clock cycle must be predictable.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0, .wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0[data-kb-block=\"kb-adv-heading11109_801dc3-a0\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0[data-kb-block=\"kb-adv-heading11109_801dc3-a0\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_801dc3-a0[data-kb-block=\"kb-adv-heading11109_801dc3-a0\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_801dc3-a0 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_801dc3-a0\"><strong>MPSoC and RFSoC Architectures for Servo Control<\/strong><\/h3>\n\n\n\n<p>The AMD Zynq UltraScale+ MPSoC architecture perfectly illustrates this technological synergy. It combines the programming flexibility of an ARM processor, ideal for network protocol management, with the raw power of programmable logic for real-time computation. The integrated DSP blocks perform the multiplications and accumulations required for <strong>PID control<\/strong> with formidable efficiency, freeing the processor from intensive mathematical tasks. For long lifecycles and harsh environments, our solutions based on VPX, VME, or CompactPCI formats guarantee robustness and longevity essential for critical infrastructures.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58, .wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58[data-kb-block=\"kb-adv-heading11109_8865f9-58\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58[data-kb-block=\"kb-adv-heading11109_8865f9-58\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_8865f9-58[data-kb-block=\"kb-adv-heading11109_8865f9-58\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_8865f9-58 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_8865f9-58\"><strong>Interfaces and Data Acquisition<\/strong><\/h3>\n\n\n\n<p>The quality of the servo control depends directly on the precision of the feedback. The use of high-resolution encoders is imperative to provide accurate position or speed measurements. Ultra-fast sampling is particularly vital for the stability of the Derivative term. If the acquisition frequency is too low, the calculation of the error slope becomes noisy, making the damping inefficient or even counterproductive. Whether communication is via Modbus 485 or more complex real-time protocols, the consistency of the acquisition chain\u2014from the sensor to the programmable logic\u2014ensures total reliability for your motion architecture.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba, .wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba[data-kb-block=\"kb-adv-heading11109_65e0b3-ba\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba[data-kb-block=\"kb-adv-heading11109_65e0b3-ba\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_65e0b3-ba[data-kb-block=\"kb-adv-heading11109_65e0b3-ba\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 id=\"tuning-methods-from-ziegler-nichols-to-auto-tuning\" class=\"kt-adv-heading11109_65e0b3-ba wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_65e0b3-ba\"><strong>Tuning Methods: From Ziegler-Nichols to Auto-tuning<\/strong><\/h2>\n\n\n\n<p>Optimizing a servo system is not limited to applying a formula. It is an iterative process that requires reconciling conflicting requirements: fast response and absolute stability. The Ziegler-Nichols method, although a century old, remains a benchmark for quickly identifying the stability limits of a system. By determining the critical gain that causes sustained oscillation, it provides robust starting coefficients for your <strong>PID control<\/strong>. However, for high-precision mechanisms in 2026, this &#8220;aggressive&#8221; approach often requires manual fine-tuning to protect the mechanics against transient shocks.<\/p>\n\n\n\n<p>Technological evolution now favors auto-tuning. These intelligent algorithms, often embedded at the heart of modern controllers, analyze the system&#8217;s impulse response to automatically calculate optimal parameters. This automation drastically reduces commissioning time while ensuring phase and gain margins that comply with the strictest safety standards. In a PID controller market projected to reach \u20ac7.44 billion by 2034, a system&#8217;s ability to self-adjust becomes a major selection criterion for industrial users.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76, .wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76[data-kb-block=\"kb-adv-heading11109_1ce525-76\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76[data-kb-block=\"kb-adv-heading11109_1ce525-76\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_1ce525-76[data-kb-block=\"kb-adv-heading11109_1ce525-76\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_1ce525-76 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_1ce525-76\"><strong>Practical Guide to Stabilizing Your Loop<\/strong><\/h3>\n\n\n\n<p>For a technician, a structured step-by-step approach guarantees a repeatable result. Start by increasing the Proportional gain (P) until a stable oscillation appears. Once this threshold is identified, reduce it by half. Next, introduce the Integral action (I) to correct the residual error, making sure not to slow down the system excessively. Finally, fine-tune the response with the Derivative action (D) to dampen the movement and settle any potential overshoot. This logical progression transforms an unstable loop into a smooth, high-performance servo control.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0, .wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0[data-kb-block=\"kb-adv-heading11109_0296c0-b0\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0[data-kb-block=\"kb-adv-heading11109_0296c0-b0\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_0296c0-b0[data-kb-block=\"kb-adv-heading11109_0296c0-b0\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_0296c0-b0 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_0296c0-b0\"><strong>Dealing with Real-World Constraints<\/strong><\/h3>\n\n\n\n<p>Moving from theory to practice often reveals unforeseen obstacles, such as measurement noise. A noisy encoder signal can make the Derivative action unstable. Implementing a low-pass filter on the measurement feedback is then essential. Similarly, gain scheduling allows the PID parameters to be adapted according to the operating point\u2014for example, by modifying the correction based on the load carried by a robotic arm. To guarantee maximum precision right from the source, <a href=\"https:\/\/emg2.com\/en\/solutions\/motion-control-energy\/\">discover our selection of motors and linear &amp; angular encoders<\/a> designed to meet the most demanding servo control requirements.<\/p>\n\n\n\n<p>The robustness of the tuning is ultimately verified through safety margin analysis. A system too close to instability risks diverging at the slightest mechanical wear or temperature variation. A conservative approach, prioritizing equipment longevity over marginal speed gains, remains the hallmark of quality engineering grounded in the operational realities of modern industry.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4, .wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4[data-kb-block=\"kb-adv-heading11109_678cba-a4\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4[data-kb-block=\"kb-adv-heading11109_678cba-a4\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_678cba-a4[data-kb-block=\"kb-adv-heading11109_678cba-a4\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 id=\"emg2-solutions-for-high-precision-motion-control\" class=\"kt-adv-heading11109_678cba-a4 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_678cba-a4\"><strong>EMG2 Solutions for High-Precision Motion Control<\/strong><\/h2>\n\n\n\n<p>The performance of a <strong>PID control<\/strong> does not depend solely on the sophistication of its algorithm. It is intimately linked to the quality of the acquisition chain and the responsiveness of the actuators. At EMG2, our approach goes beyond simply supplying components. We adopt a holistic system vision where every element, from the programmable logic to the physical motor, is selected for its ability to maintain absolute stability under extreme constraints. This expertise enables us to support industrial players in designing critical servo architectures, ensuring a smooth transition between mathematical simulation and operational reality.<\/p>\n\n\n\n<p>Optimizing a regulation loop requires hardware capable of instantly translating the controller&#8217;s commands. Whether it involves FPGA &amp; MPSoC boards and systems or ruggedized SSD storage solutions for recording control logs, we provide the technological building blocks needed for the most demanding environments. This hardware reliability is the essential foundation for preventing parameter drift and ensuring the long-term viability of your installations.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26, .wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26[data-kb-block=\"kb-adv-heading11109_51e476-26\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26[data-kb-block=\"kb-adv-heading11109_51e476-26\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_51e476-26[data-kb-block=\"kb-adv-heading11109_51e476-26\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_51e476-26 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_51e476-26\"><strong>Actuators and Encoding: Precision at the Source<\/strong><\/h3>\n\n\n\n<p>The precision of a movement begins with the quality of the feedback. Our motors and linear &amp; angular encoders offer exceptional resolution, allowing the Derivative term of your loop to react to the slightest variations without amplifying electronic noise. For applications incorporating artificial intelligence, the synergy between the NVIDIA Jetson platform and motor control opens up unprecedented possibilities. GPGPU modules process complex data streams upstream, while the control logic ensures millimeter-level positioning in real time. This combination is particularly effective for collaborative robotics and high-frequency industrial vision systems.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85, .wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85[data-kb-block=\"kb-adv-heading11109_8bdd2a-85\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85[data-kb-block=\"kb-adv-heading11109_8bdd2a-85\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_8bdd2a-85[data-kb-block=\"kb-adv-heading11109_8bdd2a-85\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_8bdd2a-85 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_8bdd2a-85\"><strong>System Safety and Protection<\/strong><\/h3>\n\n\n\n<p>Service continuity is an imperative for any critical servo system. A momentary power glitch can destabilize a <strong>PID control<\/strong> and cause significant hardware damage. To prevent these risks, we integrate power management, conversion, and protection solutions, including LFP (Lithium Iron Phosphate) batteries recognized for their thermal safety and longevity. Our MTCA chassis and power supplies offer a robust infrastructure capable of housing your control boards under severe vibration and temperature conditions.<\/p>\n\n\n\n<p>Our engineers provide you with sharp technical support for optimizing your servo loops, from selecting SDR cards for 5G networks to the fine-tuning of your actuators. Contact our experts to turn your motion control challenges into lasting, secure technological successes.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37, .wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37[data-kb-block=\"kb-adv-heading11109_4d65db-37\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37[data-kb-block=\"kb-adv-heading11109_4d65db-37\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_4d65db-37[data-kb-block=\"kb-adv-heading11109_4d65db-37\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading11109_4d65db-37 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_4d65db-37\"><strong>Toward Total Mastery of Industrial Servo Control<\/strong><\/h2>\n\n\n\n<p>The success of your technology projects in 2026 relies on a perfect synergy between mathematical theory and the power of embedded hardware. Mastering <strong>PID control <\/strong>is no longer an option; it is an imperative to guarantee the stability and longevity of your critical equipment. As we have detailed, choosing a deterministic FPGA architecture and applying rigorous tuning methods constitute the pillars of flawless precision.<\/p>\n\n\n\n<p>EMG2 provides you with over 30 years of technical support in France to meet these high-precision challenges. Through our deep expertise in AMD Zynq FPGA technologies and VPX architectures, we design ruggedized solutions capable of operating in the harshest industrial and defense environments. Our partnership-oriented approach ensures you a smooth transition toward optimized, high-performance servo systems.<\/p>\n\n\n\n<p><strong><a href=\"https:\/\/emg2.com\/en\/solutions\/motion-control-energy\/\">Optimize Your Critical Systems with EMG2 Expertise<\/a><\/strong><\/p>\n\n\n\n<p>Entrust your servo control challenges to an expert guide and give your innovations the reliability they demand.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8, .wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8[data-kb-block=\"kb-adv-heading11109_1c1971-b8\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8[data-kb-block=\"kb-adv-heading11109_1c1971-b8\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_1c1971-b8[data-kb-block=\"kb-adv-heading11109_1c1971-b8\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading11109_1c1971-b8 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_1c1971-b8\"><strong>Frequently Asked Questions<\/strong><\/h2>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1, .wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1[data-kb-block=\"kb-adv-heading11109_c78cf2-b1\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1[data-kb-block=\"kb-adv-heading11109_c78cf2-b1\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_c78cf2-b1[data-kb-block=\"kb-adv-heading11109_c78cf2-b1\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_c78cf2-b1 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_c78cf2-b1\"><strong>What is the difference between a PI controller and a PID controller?<\/strong><\/h3>\n\n\n\n<p>A PI controller lacks the derivative action, making it simpler to tune but less effective against sudden load variations. The full <strong>PID control<\/strong> adds the derivative term to anticipate errors and dampen the response, thereby reducing overshoot. It is the preferred choice for fast dynamic systems where temporal precision and stability are critical.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89, .wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89[data-kb-block=\"kb-adv-heading11109_b9b855-89\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89[data-kb-block=\"kb-adv-heading11109_b9b855-89\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_b9b855-89[data-kb-block=\"kb-adv-heading11109_b9b855-89\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_b9b855-89 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_b9b855-89\"><strong>Why does my PID system oscillate despite proper tuning?<\/strong><\/h3>\n\n\n\n<p>Oscillation often stems from excessive measurement noise amplified by the derivative gain, or from excessive delay in the feedback loop. If your algorithm runs on a processor subject to time jitter, the correction arrives with a lag, sustaining the instability. An analysis of mechanical resonance and the addition of a low-pass filter on the sensor feedback usually stabilize the motion.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91, .wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91[data-kb-block=\"kb-adv-heading11109_22fe3a-91\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91[data-kb-block=\"kb-adv-heading11109_22fe3a-91\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_22fe3a-91[data-kb-block=\"kb-adv-heading11109_22fe3a-91\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_22fe3a-91 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_22fe3a-91\"><strong>Can I implement a PID control on an NVIDIA Jetson module?<\/strong><\/h3>\n\n\n\n<p>It is entirely possible to implement a control algorithm on an NVIDIA Jetson platform by leveraging its <a href=\"https:\/\/emg2.com\/en\/solutions\/embedded-systems\/\">CPU cores or GPGPU computing power<\/a>. This architecture is ideal for systems combining industrial vision and complex servo control. However, for ultra-fast motion loops requiring strict determinism, we often recommend coupling the Jetson with <a href=\"https:\/\/emg2.com\/en\/solutions\/embedded-systems\/\">FPGA-based programmable logic<\/a>.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b, .wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b[data-kb-block=\"kb-adv-heading11109_703721-6b\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b[data-kb-block=\"kb-adv-heading11109_703721-6b\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_703721-6b[data-kb-block=\"kb-adv-heading11109_703721-6b\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_703721-6b wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_703721-6b\"><strong>What is integral windup and how can it be prevented?<\/strong><\/h3>\n\n\n\n<p>Integral windup occurs when the actuator reaches its physical limit, such as maximum voltage, while the error persists, causing excessive accumulation in the integral term. To prevent it, anti-windup algorithms are used to stop integration or mathematically saturate the command. This prevents the system from violently overshooting its setpoint when returning to a normal operating range.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2, .wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2[data-kb-block=\"kb-adv-heading11109_bc1294-b2\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2[data-kb-block=\"kb-adv-heading11109_bc1294-b2\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_bc1294-b2[data-kb-block=\"kb-adv-heading11109_bc1294-b2\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_bc1294-b2 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_bc1294-b2\"><strong>Is PID control suitable for non-linear systems?<\/strong><\/h3>\n\n\n\n<p>PID is initially designed for linear systems, but it adapts to moderate non-linearities through gain scheduling. This method consists of adjusting the P, I, and D coefficients according to the system&#8217;s specific operating point, such as load or speed. For severe non-linearities, integrating predictive models or more advanced control architectures may be necessary.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78, .wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78[data-kb-block=\"kb-adv-heading11109_7ad5f3-78\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78[data-kb-block=\"kb-adv-heading11109_7ad5f3-78\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_7ad5f3-78[data-kb-block=\"kb-adv-heading11109_7ad5f3-78\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_7ad5f3-78 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_7ad5f3-78\"><strong>Why use an FPGA rather than a microcontroller for a PID?<\/strong><\/h3>\n\n\n\n<p>The FPGA processes signals in a parallel and deterministic manner, offering latency of around 1 microsecond compared to 50 microseconds for a conventional microcontroller. This speed is crucial for stabilizing very high-dynamic systems. Additionally, the FPGA can manage multiple<strong> PID control<\/strong> loops simultaneously without any temporal interference, guaranteeing exemplary reliability for industrial and defense applications.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94, .wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94[data-kb-block=\"kb-adv-heading11109_efc6ca-94\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94[data-kb-block=\"kb-adv-heading11109_efc6ca-94\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_efc6ca-94[data-kb-block=\"kb-adv-heading11109_efc6ca-94\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_efc6ca-94 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_efc6ca-94\"><strong>How do I tune a PID without knowing the system&#8217;s mathematical model?<\/strong><\/h3>\n\n\n\n<p>Empirical, proven methods such as Ziegler-Nichols or step-response analysis are used. By observing the system&#8217;s reaction to a small controlled perturbation, you can identify the critical gain and oscillation period. These experimental data allow calculating robust starting coefficients, which can then be manually fine-tuned to achieve the desired dynamic behavior.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41, .wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41[data-kb-block=\"kb-adv-heading11109_9a39af-41\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41[data-kb-block=\"kb-adv-heading11109_9a39af-41\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading11109_9a39af-41[data-kb-block=\"kb-adv-heading11109_9a39af-41\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading11109_9a39af-41 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading11109_9a39af-41\"><strong>What is the influence of the sampling period on a digital PID?<\/strong><\/h3>\n\n\n\n<p>A sampling period that is too long introduces a phase delay that degrades stability and limits the effectiveness of the derivative action. In digital systems, it is recommended to sample at least 10 to 20 times faster than the bandwidth of the controlled system. Fast, regular sampling reduces time jitter, which is a prerequisite for obtaining smooth, precise, and repeatable servo control.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Did you know that an FPGA-based servo system can achieve latency as low as one microsecond\u2014fifty times less than a conventional CPU implementation? This extreme responsiveness is the cornerstone of high-performance PID control in the most demanding industrial environments of 2026. For many engineers, the transition between mathematical theory and embedded code remains a major&#8230;<\/p>\n","protected":false},"author":4,"featured_media":10981,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[250],"tags":[317,318,319,322,316,307,321,323,309,320,324,314],"class_list":["post-11109","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","tag-automation","tag-embedded","tag-embedded_code","tag-engineering","tag-feedback_control","tag-fpga","tag-industrial_electronics","tag-motors","tag-mpsoc","tag-pid_control","tag-pid_tuning","tag-servo_control"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Motors and Actuators: Motion Precision - EMG2<\/title>\n<meta name=\"description\" content=\"Master PID control for absolute precision. 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