系统仿真学报 ›› 2019, Vol. 31 ›› Issue (1): 94-101.doi: 10.16182/j.issn1004731x.joss.17-0072

• 仿真应用工程 • 上一篇    下一篇

基于IMC观测器的永磁同步电机预测控制

任志玲, 张钟保, 侯利民, 张广全, 林冬, 赵星   

  1. 辽宁工程技术大学电气与控制工程学院,葫芦岛 125105
  • 收稿日期:2017-02-03 修回日期:2017-04-06 出版日期:2019-01-08 发布日期:2019-04-16
  • 作者简介:任志玲(1971-),女,辽宁阜新,博士,副教授,研究方向为控制理论与控制工程;张钟保(1991-),男,云南曲靖,硕士生,研究方向为电机控制理论与应用。
  • 基金资助:
    辽宁省自然科学基金(201602350),辽宁省高等学校优秀人才支持计划(LR2013013)

Predictive Control for Permanent Magnet Synchronous Motor Based on IMC Observer

Ren Zhiling, Zhang Zhongbao, Hou Limin, Zhang Guangquan, Lin Dong, Zhao Xing   

  1. School of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China
  • Received:2017-02-03 Revised:2017-04-06 Online:2019-01-08 Published:2019-04-16

摘要: 预测控制策略应用于永磁同步电机控制系统中可以实现快速的动态响应和高精度的跟踪控制,但依赖电机的数学模型,负载扰动会影响系统的控制性能。提出一种基于内模控制(IMC)的观测器与预测控制相结合的控制方法,基于模型预测控制算法和无差拍电流预测控制算法设计速度外环控制器和电流内环控制器以构成双环预测控制系统,设计IMC观测器估计负载扰动,据此产生转矩电流补偿量作为速度环的前馈补偿,实现扰动抑制。仿真结果表明,所提出的方法能够提高控制系统的动态响应性能和稳态精度,增强系统的鲁棒性。

关键词: 永磁同步电机, 模型预测控制, 无差拍预测控制, 内模控制, 观测器

Abstract: Predictive control strategy is applied to permanent magnet synchronous motor control system, it can achieve fast dynamic response and high-precision tracking control, but depending on the mathematical model of the motor, the load disturbance will affect the control performance of system. A new control method combining an observer based on internal model control (IMC) and predictive control was presented. The inner-loop current controller and the outer-loop speed controller based separately on model predictive control algorithm and deadbeat current predictive control algorithm were designed to form dual-loop predictive control system. An IMC observer is designed to estimate the load disturbance, and torque-current compensation is produced as feedforward of speed loop to attenuate the disturbance. The simulation results show that the proposed method can improve the dynamic response performance and steady-state precision of the control system, and the robustness is greatly enhanced.

Key words: permanent magnet synchronous motor, model predictive control, deadbeat predictive control, internal model control, observer

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