Title :
Fuzzy model predictive control of a permanent magnet synchronous motor in electric vehicles
Author :
Zhitao Liu ; Youyi Wang ; Du, Jinyang
Author_Institution :
TUM CREATE Centre for Electromobility, Singapore, Singapore
Abstract :
In this paper, fuzzy model predictive control(FMPC) is applied to the speed control of permanent magnet synchronous machine(PMSM) in electric vehicles(EVs). PMSM are being widely used in vehicle industry, but as its highly nonlinear model, it is difficult to regulate the motor speed. In order to improve the performance of EVs, model predictive control is used to control PMSM based on the Takagi-Sugeno fuzzy approach. The proposed FMPC for the PMSM is used to regulate the speed to track the driving cycle, and simulation results are given to shown the effectiveness of the proposed controller.
Keywords :
angular velocity control; electric vehicles; fuzzy control; machine control; permanent magnet motors; predictive control; synchronous motors; EV; FMPC; PMSM; Takagi-Sugeno approach; driving cycle; electric vehicles; fuzzy model predictive control; nonlinear model; permanent magnet synchronous motor; speed control; vehicle industry; Electric vehicles; Nonlinear systems; Permanent magnet motors; Predictive control; Predictive models; Vehicle dynamics;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565084
