Abstract
In this paper, an online average torque control (ATC) of a switched reluctance motor (SRM) for light electric vehicle (LEV) applications is proposed. The purpose of the ATC is to control the average torque in the most inner control loop to stabilize the system dynamics. This is carried out by estimating the average torque at every time instant by considering the motor primary parameters, i.e., rotor position, speed, and phase currents. To achieve the desired average torque in wide speed range and controller efficiency for traction control, the proposed ATC algorithm is designed to adjust the changing reference current and switching angles to obtain the desired average torque at the operating speed. This paper also proposes a torque estimation method based on the Fourier Series approximation of the inductance profile to obtain accurate torque estimation results. The simulation of a 3 kW, 6/4 SRM for LEV application is used to demonstrate the effectiveness of the proposed method.
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