电气技术  2019, Vol. 20 Issue (8): 1-5    DOI:
研究与开发 |
基于扰动观测器的永磁同步电动机无差拍电流预测控制仿真
柯伟煌, 钱胜南, 张艺, 卜飞飞
南京航空航天大学自动化学院,南京 210016
Simulation of deadbeat predictive current control for permanent magnet synchronous motor based on disturbance observer
Ke Weihuang, Qian Shengnan, Zhang Yi, Bu Feifei
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016
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摘要 为改善永磁同步电动机矢量控制中电流环动态性能差、控制精度低等问题,本文研究一种无差拍电流预测控制方法。但基于电动机参数模型的无差拍预测控制方案存在抗干扰性差的问题,为减小负载扰动对预测控制系统的影响,引入一种负载扰动观测器用于前馈补偿。在扰动观测器的补偿作用下,无差拍电流预测控制系统不仅具有优越的动态性能,且表现出更强的鲁棒性。在Simulink环境下搭建基于扰动观测器的无差拍电流预测控制系统仿真模型,验证理论的正确性。
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柯伟煌
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卜飞飞
关键词 永磁同步电动机矢量控制无差拍预测控制扰动观测器仿真    
Abstract:In order to improve the poor transient performance and control accuracy of the current loop in vector control of permanent magnet synchronous motor, a deadbeat predictive current control method was studied. However, the deadbeat predict control system was based on the parameters of the motor, which had a problem of poor anti-interference. In order to reduced the influence of load disturbance on the predictive control system, a load disturbance observer was introduced, which was used for the feed-forward compensation. Under the compensation of the disturbance observer, the deadbeat predictive current control system not only had excellent transient performance, but also showed stronger robustness. The experiment built the simulation model of the deadbeat predictive control system based on disturbance observer in Simulink environment. Simulation results showed the validity of the theory.
Key wordspermanent magnet synchronous motor (PMSM)    vector control    deadbeat predictive control    disturbance observer    simulation   
收稿日期: 2018-12-18      出版日期: 2019-08-19
基金资助:2018年国家级大学生创新训练项目(201810287032)
作者简介: 柯伟煌(1998-),男,福建省晋江市人,本科,研究方向为电气工程及其自动化。
引用本文:   
柯伟煌, 钱胜南, 张艺, 卜飞飞. 基于扰动观测器的永磁同步电动机无差拍电流预测控制仿真[J]. 电气技术, 2019, 20(8): 1-5. Ke Weihuang, Qian Shengnan, Zhang Yi, Bu Feifei. Simulation of deadbeat predictive current control for permanent magnet synchronous motor based on disturbance observer. Electrical Engineering, 2019, 20(8): 1-5.
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