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Modified ADRC Design of Permanent Magnet Synchronous Motor Based on Improved Memetic Algorithm.

Gang Liu1,2,3, Chuanfang Xu4, Longda Wang4

  • 1College of Engineering, Inner Mongolia Minzu University, Tongliao 028000, China.

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|April 13, 2023
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Summary
This summary is machine-generated.

This study introduces a novel modified auto-disturbance rejection control (ADRC) for permanent magnet synchronous motors (PMSM). The improved memetic algorithm (IMA) significantly reduces system ripple and enhances parameter optimization for better PMSM speed control.

Keywords:
Gaussian mutationauto disturbance rejection controlfusion distanceimproved memetic algorithmoptimal control functionpermanent magnet synchronous motor

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Artificial Intelligence

Background:

  • Traditional auto-disturbance rejection control (ADRC) suffers from system ripple due to non-differentiable control functions.
  • Optimizing ADRC parameters is crucial for effective permanent magnet synchronous motor (PMSM) control.

Purpose of the Study:

  • To propose a novel modified ADRC design for PMSM speed control.
  • To develop an improved memetic algorithm (IMA) for optimizing ADRC parameters.
  • To reduce system ripple and enhance control precision.

Main Methods:

  • A differentiable and smooth optimal control function was developed to modify the ADRC design, mitigating system ripple.
  • An improved memetic algorithm (IMA) was proposed, incorporating adaptive nonlinear convergence factor, Gaussian mutation, enhanced learning mechanisms (competitive and opposition-based learning), and elite set maintenance.
  • The proposed IMA was used to optimize the parameters of the modified ADRC.

Main Results:

  • The modified ADRC with IMA demonstrated a significantly better optimization effect compared to fuzzy PI, traditional ADRC with genetic algorithm, and improved ADRC with moth-flame optimization.
  • Experimental results on PMSM speed control cases validated the effectiveness of the proposed method.
  • The novel control function effectively weakened system ripple.

Conclusions:

  • The proposed modified ADRC based on IMA offers superior performance for PMSM speed control.
  • The developed IMA provides high-quality parameter optimization with improved precision.
  • This approach effectively addresses the limitations of traditional ADRC and other optimization algorithms.