Design of electronic throttle valve position control system using Learning Feed-Forward based on Model Reference Adaptive Systems controller

Que Son Tran, Thi Ngoc Anh Dang

In recent years, the use of electronic throttle valve systems has been very popular in the automotive industry. However, there are still many difficulties in controlling the electronic throttle valve because of multiple nonsmooth nonlinearities, including stick–slip friction, backlash, and a discontinuous nonlinear spring involved in the system. To alleviate these difficulties in controlling the angle of a throttle plate and to make a highly robust controller with limited cost, this paper proposes the new approach using the PD controller and a Model Reference Adaptive System-based Learning Feed-Forward Controller algorithm to the electronic throttle valve. Firstly, the LFFC is applied together with the PD controller to compensate the nonlinearities in the system, and then, the Lyapunov approach is used to find stable adaptive laws for the feed-forward parameters when the parameters of the system changes while the throttle valve is working. The performance of the proposed controller is evaluated by performing some simulations on the Matlab-Simulink software.