Adaptive fuzzy logic based sliding mode control of electronic throttle

An electronic throttle control system regulates the throttle plate angle using a DC servo motor to adjust the inlet airflow rate of an internal combustion engine. In this paper, an adaptive fuzzy logic based sliding mode controller which is aimed to enhance the control strategy robustness with respect to parameter variations and external disturbances for electronic throttle is proposed. The adaptive fuzzy logic based sliding mode controller is comprised of an adaptive fuzzy controller and a compensation controller, the adaptive fuzzy controller is used to approximate this ideal sliding mode control law, and the compensator is designed to approximation error between ideal sliding mode control law and adaptive fuzzy controller. The stability of the control system and the convergence of plate angular position tracking errors are guaranteed by Lyapunov stability theory. Numerical simulations verify that the proposed control system can achieve favorable tracking performance and robustness with regard to parameter variations and external disturbances. © 2012 Binary Information Press.