Scholarlink

<p>Disturbances, costs, and accuracy are the most important challenges in the speed control of permanent magnet synchronous motors (PMSM). This article tackles these issues and presents a novel combination between control and estimation theories. To be more specific, based on the state feedback structure and linear quadratic regulator (LQR) problem, an optimal control algorithm is presented to generate the reference current in the speed control loop. In the next step, using Proportional-Integral (PI) controllers, the current control loop is implemented to generate the reference voltage values for the motor input. Besides, a Luenberger-based observer is designed to project the disturbance. This estimated disturbance is utilized in the control loop to update the control law. In this way, the productivity of the whole control structure becomes further robust against external disturbances. To validate the productivity of the recommended LQR-based state feedback control method together with the disturbance observation, a series of experimental tests is performed in the laboratory, and the outcomes are compared to a linearized state feedback method. The outcomes show the effective and accurate performance of the recommended tactic.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A novel design for speed control of permanent magnet synchronous motors based on LQR controller and Luenberger disturbance estimator

  • 期刊论文

  • 发表日期：

    2025年8月30日

查看全文
  • Jun Yang,
  • Liping Zhang,
  • Yanxia Dai,
  • Jungang Chuan,
  • Zhiguang Qin,
  • Peng Huang

摘要

Disturbances, costs, and accuracy are the most important challenges in the speed control of permanent magnet synchronous motors (PMSM). This article tackles these issues and presents a novel combination between control and estimation theories. To be more specific, based on the state feedback structure and linear quadratic regulator (LQR) problem, an optimal control algorithm is presented to generate the reference current in the speed control loop. In the next step, using Proportional-Integral (PI) controllers, the current control loop is implemented to generate the reference voltage values for the motor input. Besides, a Luenberger-based observer is designed to project the disturbance. This estimated disturbance is utilized in the control loop to update the control law. In this way, the productivity of the whole control structure becomes further robust against external disturbances. To validate the productivity of the recommended LQR-based state feedback control method together with the disturbance observation, a series of experimental tests is performed in the laboratory, and the outcomes are compared to a linearized state feedback method. The outcomes show the effective and accurate performance of the recommended tactic.