An adaptive sliding mode current control for switched reluctance motor

Abstract

Current controller is typically required in the torque ripple minimization control strategies for the switched reluctance motor (SRM). However, the conventional current controllers such as digital hysteresis controller and fixed proportional-integral (PI) controller have remarkable limitations. To improve the performances of the SRM, a novel current control strategy based on adaptive sliding mode control is proposed. The control force of the proposed control algorithm consists of two parts. The first part is the nominal control force, which is directly derived from the simple linear model, and the second part is obtained from the developed adaptive law, which is used to reject the lumped uncertainties. The proposed adaptive law avoids using a switching gain greater than the lumped uncertainties, thus alleviating the chattering problem. Moreover, since the design of the proposed control is based on Lyapunov theory, the stability of the controller is inherently guaranteed. The proposed current controller is compared to digital hysteresis control and fixed PI control under Matlab/Simulink environment. Simulation results demonstrate the effectiveness of the proposed control scheme.