Fuzzy sliding mode control strategy for synchronous reluctance motor

To address the insufficient anti-disturbance performance of synchronous reluctance motor (SynRM) under abrupt load change scenarios and the chattering issue in traditional sliding mode control (SMC), this paper proposes an improved sliding mode control strategy integrated with fuzzy logic. By replacing the traditional sign function with a hyperbolic tangent function, the switching continuity of the sliding mode reaching law is optimized, significantly suppressing system chattering. A fuzzy controller is designed to dynamically adjust the sliding surface gain and reaching law gain, enhancing parameter adaptability and system robustness. Simulation results demonstrate that, compared to PI control and conventional SMC, the proposed strategy reduces speed fluctuations and shortens recovery time under abrupt load change conditions, validating its significant advantages in dynamic response speed, steady-state accuracy, and anti-disturbance performance.