PMSM control for electric vehicle based on fuzzy PI
by Qiping Chen; Sheng Kang; Liping Zeng; Qiang Xiao; Conghui Zhou; Mingming Wu
International Journal of Electric and Hybrid Vehicles (IJEHV), Vol. 12, No. 1, 2020

Abstract: 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.

Online publication date: Mon, 23-Dec-2019

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