Adaptive Fuzzy Sliding Mode Controller for Electro-mechanical Clutch Actuator of Automated Manual Transmission Vehicle

作者：Chen Ran^*; Mi Lin; Tan Wei; Wu Xuan

来源：Information-An International Interdisciplinary Journal, 2012, 15(11A): 4715-4724.

• AMT
• electro-mechanical actuator
• sliding mode control
• adaptive control
• fuzzy logic
• AFSMC

The design of automated electro-mechanical clutch actuator controller affects the performance of automated manual transmission (AMT) vehicle during engagement and disengagement of clutch. Since there is a lot of nonlinearity and uncertainly (uncertainly in actuator delay, static errors, external distances and parameter variations) in electro-mechanical clutch actuator dynamics, a robust control method should be used. In this research, a sliding mode controller(SMC) for clutch actuator is designed to put the clutch into a desired position as quickly and accurately as possible based on the actuator nonlinear dynamic mode. In order to alleviate the chattering phenomenon of SMC and uncertainty of actuator, an adaptive fuzzy logic based sliding mode control (AFSMC) is proposed. The AFSMC is comprised of an adaptive fuzzy controller to approximate the ideal sliding mode control law and a compensation controller to approximate error between the ideal sliding mode control law and the adaptive fuzzy controller. The stability of the control system and convergence of clutch actuator position tracking errors are guaranteed by Lyapunov stability theory. Simulation results show that the proposed control system can achieve favorable tracking performance and robustness with regard to parameter variations and external disturbances.

• 出版日期2012-11
• 单位重庆大学