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Predictive IP controller for robust position control of linear servo system.

Shaowu Lu1, Fengxing Zhou2, Yajie Ma2

  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Heping Road, Wuhan, China; School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, China.

ISA Transactions
|February 28, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel gain-tuning integral plus proportional (IP) controller for linear servo systems. The proposed method effectively reduces overshoot and enhances position control performance using generalized predictive control (GPC).

Keywords:
Generalized predictive controlIntegral plus proportionalPermanent magnet synchronous linear motorPosition control

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Area of Science:

  • Control Engineering
  • Robotics
  • Automation Systems

Background:

  • Position control is crucial for linear servo systems.
  • Integral plus proportional (IP) controllers are commonly used but can exhibit overshoot.
  • Improving control performance and reducing overshoot remain key challenges.

Purpose of the Study:

  • To propose a gain-tuning IP controller for enhanced position control.
  • To reduce system overshoot in linear servo systems.
  • To improve overall control performance through advanced control strategies.

Main Methods:

  • A second-order linear model represents the position loop dynamics.
  • On-line model parameter estimation uses the recursive least squares method.
  • A generalized predictive control (GPC) law with receding horizon optimizes IP controller parameters.

Main Results:

  • The proposed gain-tuning IP controller effectively reduces system overshoot.
  • Simulation and experimental results validate the enhanced control performance.
  • The method demonstrates efficient parameter tuning for real-time operations.

Conclusions:

  • The gain-tuning IP controller based on GPC offers superior performance for position control.
  • The recursive least squares and receding horizon techniques enable robust on-line tuning.
  • This approach provides a significant improvement over traditional IP control methods.