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High-performance state feedback controller for permanent magnet synchronous motor.

Bitao Zhang1, Xiuwen Tang2

  • 1Guangdong Polytechnic Normal University, Guangzhou, China; Hong Kong University of Science and Technology Fok Ying Tung Research Institute, Guangzhou, China.

ISA Transactions
|February 19, 2021
PubMed
Summary
This summary is machine-generated.

A new control method enhances permanent magnet synchronous motor (PMSM) performance. This advanced PI plus state feedback controller improves dynamic complexity management and disturbance rejection for automation applications.

Keywords:
PMSMParameter tuningProportional–Integral (PI) regulatorStabilityState feedback control

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Area of Science:

  • Electrical Engineering
  • Control Systems Engineering

Background:

  • Permanent magnet synchronous motors (PMSMs) are crucial in automation due to their high performance.
  • Dynamic complexity in PMSMs presents challenges for achieving optimal control.
  • Existing control methods may struggle with parameter variations and disturbances.

Purpose of the Study:

  • To propose a novel state feedback control algorithm and parameter tuning method for PMSMs.
  • To enhance the control performance of PMSMs in dynamic and complex environments.
  • To address the limitations of conventional control strategies in PMSM applications.

Main Methods:

  • Analysis of current state-space equations in the rotor reference frame.
  • Design of a state feedback controller for first-order to third-order systems.
  • Development of an enhanced Proportional-Integral (PI) plus state feedback controller incorporating current, current error, and integral of current error information.
  • Mathematical justification of stability and convergence using state feedback theory.

Main Results:

  • The proposed PI plus state feedback controller demonstrates superior performance compared to classical state feedback methods.
  • The control scheme effectively handles parameter changes and external disturbances.
  • Simulation and experimental results validate the enhanced control approach's efficacy.

Conclusions:

  • The novel PI plus state feedback control scheme offers improved control performance for PMSMs.
  • This method provides a robust solution for managing PMSM dynamic complexity and disturbances.
  • The findings contribute to advancing control strategies in the automation industry for PMSM applications.