Owing to external disturbances, parameter uncertainty, and measurement noise, it has been a challenging task to develop an appropriate controller for the automated clutch system. This paper proposes a new method for electromechanical clutch position control systems. First, a non-linear dynamic model for the screw-nut actuator associated with a clutch is derived, and then a dynamic sliding-mode controller with fuzzy adaptive tuning is developed. The fuzzy adaptive tuning arithmetic is used to improve the robustness and stability of the controller. At the same time, the chattering phenomenon is alleviated by adopting the proposed controller. Based on dSPACE and MATLAB-Simulink, the rapid control prototyping of the automated clutch is used as a method to demonstrate the efficiency and robustness of the proposed algorithm.

In order to improve the response speed and disturbance rejection ability of a permanent magnet synchronous motor (PMSM) in an electromechanical actuator (EMA), a compound sliding mode control (CSMC) is proposed. The CSMC consists of a sliding mode controller with a new reaching law and disturbance observer based on a symmetric S-type function. The stability of the CSMC is analyzed using the Lyapunov stability analysis. The effectiveness of the CSMC is confirmed by the Simulink simulation, and experiments were conducted on a semi-physical platform. The results obtained by comparing the CSMC with the proportional integral (PI) control and traditional sliding mode control show that the CSMC has a faster response and stronger disturbance rejection ability and reduces chattering.

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