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Adaptive PI nonlinear cooperative control for motor cluster.

Yiting Chen1, Yushen Wu1, Kairui Chen1

  • 1School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, Guangdong, China.

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|June 13, 2025
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Summary
This summary is machine-generated.

This study introduces an adaptive PI nonlinear control strategy for permanent magnet synchronous motors (PMSMs). The new method enhances speed tracking and synchronization in cooperative systems, overcoming nonlinearities and disturbances.

Keywords:
Adaptive PI controlCooperative controlPermanent magnet synchronous motor

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Area of Science:

  • Electrical Engineering
  • Control Systems Engineering
  • Robotics

Background:

  • Permanent magnet synchronous motors (PMSMs) are crucial in various applications but suffer from nonlinearities and uncertainties affecting speed regulation.
  • Traditional PI control methods often struggle to maintain precise speed control under dynamic and uncertain operating conditions.

Purpose of the Study:

  • To develop and evaluate an adaptive PI nonlinear control strategy for PMSMs.
  • To improve speed tracking and synchronization in cooperative PMSM systems.
  • To address the challenges posed by nonlinearities and uncertainties in PMSM speed regulation.

Main Methods:

  • Development of a nonlinear system model based on the PMSM mathematical model.
  • Design of an adaptive PI nonlinear control approach.
  • Comparative simulations between the adaptive PI nonlinear control and traditional PI control methods.
  • Construction of cooperative PMSM control system models for speed tracking and synchronization.

Main Results:

  • The adaptive PI nonlinear control strategy demonstrated effective tracking of desired speed values in simulations.
  • Comparative analysis showed superior performance of the adaptive PI nonlinear control over traditional PI control.
  • The cooperative PMSM control system using the adaptive PI nonlinear method achieved stable speed tracking and synchronization.
  • The system maintained stable operation despite nonlinear issues and external disturbances.

Conclusions:

  • The proposed adaptive PI nonlinear control strategy is effective for PMSM speed regulation.
  • This method enables robust cooperative control in terms of speed tracking and synchronization for PMSM clusters.
  • The adaptive PI nonlinear control offers a viable solution for PMSM systems operating under nonlinearities and uncertainties.