基于模糊PI的电动汽车永磁同步电机控制

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY

International Journal of Electric and Hybrid Vehicles Pub Date : 2020-01-01 DOI:10.1504/ijehv.2020.10025988

Qiping Chen, Sheng Kang, Li Zeng, Q. Xiao, Conghui Zhou, Wu Mingming

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引用次数: 5

摘要

提出了一种基于模糊控制理论的模糊PI速度控制器，使电动汽车驱动控制系统对扰动和参数变化不敏感。建立了d-q参照系下永磁同步电动机的数学模型，基于模糊控制理论设计了模糊PI调速控制器，建立了基于模糊PI控制理论和滑模控制理论的永磁同步电动机仿真模型。利用Simulink对两种仿真模型进行了仿真分析，仿真结果表明，模糊PI控制比滑模控制具有更快的动态响应速度、更好的动态性能和更好的抗干扰能力。因此，模糊PI控制是一种理想的控制方法，在电动汽车永磁同步电机矢量控制中具有一定的参考价值。

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PMSM control for electric vehicle based on fuzzy PI

A fuzzy PI speed controller based on fuzzy control theory is proposed, which makes the drive control system of electric vehicle insensitive to disturbance and parameter change. The mathematical model of permanent magnet synchronous motor (PMSM) in d-q reference frame is established, fuzzy PI speed controller is designed based on fuzzy control theory, and simulation models of PMSM based on fuzzy PI control theory and sliding mode control theory are built in this paper. Two simulation models are simulated and analysed by Simulink, and simulation result shows that fuzzy PI control has faster dynamic response speed, better dynamic performance and better antiinterference ability than sliding mode control. Therefore, fuzzy PI control is an ideal control method, which has a certain reference value in vector control of PMSM for electric vehicle.

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来源期刊

International Journal of Electric and Hybrid Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

1.60

自引率

14.30%

发文量

期刊介绍： IJEHV provides a high quality, fully refereed international forum in the field of electric and hybrid automotive systems, including in-vehicle electricity production such as hydrogen fuel cells, to describe innovative solutions for the technical challenges enabling these new propulsion technologies.