An improved super-twisting sliding mode and linear active disturbance rejection control strategy is proposed to improve the dynamic response performance and immunity performance in switched reluctance motor speed control systems. Firstly, the linear extended state observer in linear active disturbance rejection control is improved by using the super-twisting sliding mode (STSM) control algorithm in order to improve the performance of the observer and thus enhance the controller’s immunity to disturbances. Secondly, the STSM control algorithm is used to replace the original linear state error feedback control law to improve the dynamic response performance of the controller, and the sigmoid function is used to replace the sign function in the STSM algorithm to further weaken the inherent chattering of the sliding mode and improve the stability of the system. Finally, the proposed control strategy is verified using the MATLAB/Simulink simulation platform. The simulation results show that the proposed control strategy has a better dynamic response and disturbance immunity performance.

In response to the severe chattering, slow dynamic response, and limited disturbance rejection capability of switched reluctance motor (SRM) drive systems under conventional control methods, this paper develops an improved nonsingular fast terminal sliding mode controller (INFTSMC). An integral sliding surface is first designed to eliminate the steady-state tracking error. An adaptive exponent and an improved double-power reaching law are then introduced to enhance the convergence performance. In addition, a smooth hyperbolic tangent approximation and a boundary layer design are employed instead of the conventional signum function to suppress chattering while maintaining a rapid response. Theoretical analysis demonstrates that the sliding variable is globally asymptotically stable and enters any prescribed neighborhood of the origin within a fixed time independent of the initial condition, thereby establishing practical fixed-time convergence rather than exact finite-time stability. Furthermore, an error-dependent bandwidth scheduling mechanism is incorporated into the modified super-twisting observer, resulting in an adaptive bandwidth modified super-twisting observer (AB-MSTO) for load torque estimation and compensation. The proposed bandwidth scheduling mechanism improves the balance between transient estimation speed and steady-state noise sensitivity. Finally, a MATLAB/Simulink simulation platform is constructed to evaluate the proposed control strategy. The simulation results demonstrate that the proposed INFTSMC combined with the AB-MSTO improves the dynamic speed regulation performance and disturbance rejection capability of the SRM drive system under different operating conditions.