Model Reference Adaptive Position Control of the Double-Sided Linear Switched Reluctance Motor

To enhance the position accuracy of the linear switched reluctance motor (LSRM), a model reference adaptive position control method of the double-sided LSRM (DLSRM) is proposed in this paper. A DLSRM developed in the laboratory is taken as an object. A reference model is first constructed based on the dynamic model of the DLSRM. A feedforward control action gain and a state feedback control action consist of the control law. Following that, adaptive laws are derived based on Lyapunov stability theory and model reference adaptive control theory. The adaptive laws are employed to dynamically modify the controller parameters in real-time. Subsequently, simulation of the proposed model reference adaptive position control for the DLSRM is performed. The simulation results demonstrate that the DLSRM system using the proposed model reference adaptive control method, achieves high-precision and robust position tracking. These results verify the effectiveness of the proposed method.