Research on Adaptive PMSM Control Based on Novel Exponential Reaching Law

In light of the limitations exhibited by conventional sliding mode controllers applied to permanent magnet synchronous motors (PMSM), such as inadequate control effects, low robustness, and weak disturbance rejection, a novel exponential reaching law-based PMSM sliding mode controller is designed. This aims to address the contradiction between the convergence time of the traditional reaching law sliding surface and the presence of system oscillations. To enhance the system’s dynamic response performance, a novel exponential reaching law and saturation function are employed to design the control rate, thereby improving the system’s responsiveness. To mitigate system oscillations, an integral sliding surface is adopted to effectively eliminate steady-state errors and enhance system stability. To achieve improved control, fuzzy control is applied for adaptive parameter tuning. To validate the effectiveness of the aforementioned strategies, simulations are conducted using the MATLAB platform with a Simulink simulation model. The simulation results demonstrate that the proposed control strategy outperforms traditional sliding mode control in terms of smoother startup, faster convergence, reduced system oscillations, and stronger disturbance rejection capability.