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Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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PI Controller: Design01:24

PI Controller: Design

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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PD Controller: Design01:26

PD Controller: Design

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In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Updated: Jan 16, 2026

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High Bandwidth Control of a Piezo-Actuated Nanopositioning System Based on a Discrete-Time High-Order Dual-Loop

Longhuan Yu1, Xianmin Zhang1, Sergej Fatikow2

  • 1Guangdong Key Laboratory of Precision Equipment and Manufacturing Technology, School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510000, China.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
Summary

A novel discrete-time high-order dual-loop control framework significantly enhances piezo-actuated nanopositioning system bandwidth. This advanced control strategy improves precision and overcomes limitations of traditional continuous-time models.

Keywords:
discrete-timedual-loop controllinear quadratic regulatorpiezo-actuated nanopositioning systemstate feedback

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Area of Science:

  • Control Systems Engineering
  • Nanotechnology
  • Mechatronics

Background:

  • Piezo-actuated nanopositioning systems face bandwidth limitations due to resonance and hysteresis.
  • Traditional control methods using continuous-time low-order models show performance degradation.

Purpose of the Study:

  • To propose a new dual-loop control framework for piezo-actuated nanopositioning systems.
  • To enhance system bandwidth and control precision by utilizing a discrete-time high-order model.

Main Methods:

  • Developed a dual-loop control framework based on a discrete-time high-order model.
  • Implemented a discrete-time linear quadratic regulator for parameter optimization.
  • Utilized direct discrete implementation of high-order state feedback and an integrator.

Main Results:

  • Achieved an experimental bandwidth of 8248 Hz, surpassing continuous-time high-order (3920 Hz) and discrete-time low-order (6610 Hz) models.
  • Experimental frequency response closely matched theoretical predictions.
  • Exceeded the open-loop resonant frequency of 6352 Hz.

Conclusions:

  • The proposed discrete-time high-order dual-loop control framework effectively enhances bandwidth and precision in piezo-actuated nanopositioning.
  • This approach mitigates model mismatch and discretization errors, outperforming existing methods.