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PI Controller: Design01:24

PI Controller: Design

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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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.
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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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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.
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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.
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Adaptive Third-Order Fixed-Time Integral Sliding-Mode Control for Piezoelectric-Driven Microinjectors.

Rungeng Zhang1, Zehao Wu1, Weijian Zhang1

  • 1Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau, China.

Micromachines
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive control for piezoelectric microinjectors, significantly improving accuracy and speed. The novel method ensures rapid, stable performance without needing prior knowledge of system disturbances.

Keywords:
adaptive controlfixed-time controlhysteresis nonlinearitypiezoelectric actuatorssliding-mode control

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Area of Science:

  • Control Engineering
  • Mechatronics
  • Materials Science

Background:

  • Piezoelectric actuators exhibit hysteresis and chatter, complicating precise motion control.
  • Existing control methods often require detailed knowledge of system parameters and disturbances.

Purpose of the Study:

  • To develop an adaptive control scheme for piezoelectric microinjectors that overcomes hysteresis and chattering.
  • To achieve global fixed-time stability with settling times independent of initial conditions.
  • To eliminate the need for prior knowledge of disturbance upper bounds.

Main Methods:

  • Implementation of an adaptive third-order fixed-time integral sliding-mode control (A3-FTISMC).
  • Utilizing high-order sliding-mode and integral control to address actuator nonlinearities.
  • Designing adaptive laws for disturbance rejection without prior bound information.

Main Results:

  • Demonstrated effectiveness through simulations and experiments on a piezoelectric-driven microinjector.
  • Achieved a settling time of 0.276 s and steady-state error of 1.12 µm in simulations for sinusoidal tracking.
  • Experimental results showed a settling time of 0.4 s and steady-state error of 2.7 µm.
  • Outperformed existing methods in convergence speed and tracking accuracy.
  • Exhibited robustness to varying reference trajectories and initial conditions.

Conclusions:

  • The A3-FTISMC scheme provides high-performance control for piezoelectric microinjectors.
  • The method offers fast stabilization, improved accuracy, and robustness.
  • Presents a theoretical basis and practical value for piezoelectric actuation systems in industrial applications.