Finite element modeling and control of a high-power SRM for hybrid electric vehicle

Abstract

In this study, a new modified fuzzy-PI (MFPI) controller is designed to control a high-power Switched Reluctance Motor (SRM) modeled by means of the finite element method (FEM) for hybrid electric vehicle (HEV) applications. Finite element analysis has been carried out via the Maxwell 2D software package. The motor flux, inductance and torque characteristics obtained from the analyses have been presented. The obtained numerical analysis data was transferred to the Matlab/Simulink environment, and a non-linear dynamic SR motor model was created. The motor speed has been controlled by conventional fuzzy-PI (FPI) and new modified fuzzy-PI (MFPI) controller after designing the nonlinear model of the SRM. The controller performances are compared in terms of maximum percentage overshoot (O-s), rise time (t(r)), steady-state error (e(ss)), rate of torque ripple (T-d), and rate of ripple in speed (omega d). The comparisons for the SRM's different operation situations show that MFPI generally yields the better performance in terms of the rise-time, the steady-state error, and the maximum percentage overshoot criteria. In addition, the high-power SR motor simulation computation time (fuzzy computation) for the MFPI controller appears to be shorter than the value for the conventional FPI controller.