Study of control for the automated clutch of an automated manual transmission vehicle based on rapid control prototyping

Abstract

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.