Title: PMSM control for electric vehicle based on fuzzy PI

Authors: Qiping Chen; Sheng Kang; Liping Zeng; Qiang Xiao; Conghui Zhou; Mingming Wu

Addresses: Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China ' Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China

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.

Keywords: electric vehicle; PMSM; permanent magnet synchronous motor; fuzzy PI; vector control; simulation analysis.

DOI: 10.1504/IJEHV.2020.104251

International Journal of Electric and Hybrid Vehicles, 2020 Vol.12 No.1, pp.75 - 85

Received: 16 Jun 2018
Accepted: 14 Aug 2018

Published online: 23 Dec 2019 *

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