Adaptive finite time servo control for automotive electronic throttle with experimental analysis

Abstract

In order to meet the rigorous requirement for transient and static performance of automobile electronic throttle control systems, an adaptive finite time servo control (AFTSC) strategy is investigated by integrating adaptive backstepping recursive technique into the framework of finite-time stability theory. The required transient performance of the throttle opening trajectory tracking is guaranteed theoretically by the finite convergence time and the convergence rate related to the adjustable control parameters. The static performance is enhanced by introducing the tracking error integral into the system state variables. The robustness of the satisfactory transient and static performance is improved by the adaptive update law in the light of system parameter uncertainties due to production deviations, different working conditions and aging. Meanwhile, the advantage of the proposed AFTSC strategy is validated by demonstrating the comparison results with the existing strategies both in the critical operating cases under Matlab/Simulink simulation environment and in the actual operating cases on the dSPACE rapid-control-prototype (RCP) test platform for a real electronic throttle system.