Fuzzy model predictive control of a permanent magnet synchronous motor in electric vehicles

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.