Title: Robust terminal sliding mode control for automotive electronic throttle with lumped uncertainty estimation
Authors: Hai Wang; Ping He; Huifang Kong; Ming Yu; Canghua Jiang; Jinchuan Zheng; Zhihong Man
Addresses: School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, 230009, China ' School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, 230009, China ' School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, 230009, China ' School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, 230009, China ' School of Electrical and Automation Engineering, Hefei University of Technology, Hefei, 230009, China ' Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, 3122, Australia ' Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, 3122, Australia
Abstract: In this study, we propose a robust terminal sliding mode (TSM) control scheme for automotive electronic throttle (ET) valve. Compared with the conventional throttle control systems, a TSM controller is developed where the lumped uncertainty is estimated by using a finite-time exact observer (FEO), such that the effects of the parameter uncertainties and nonlinearities including friction, return spring limp-home and gear backlash can be eliminated. It is shown that since the designed FEO can well estimate the lumped uncertainty, it is much easier to select the TSM control gains and a robust tracking performance can be ensured in the presence of the parametric variations and disturbances. The comparative simulations and experiments are provided to verify the excellent transient and steady-state tracking performance of the proposed TSM controller for ET systems.
Keywords: electronic throttle; FEO; finite-time exact observer; lumped uncertainty; TSM; terminal sliding mode.
International Journal of Vehicle Design, 2017 Vol.74 No.1, pp.19 - 40
Received: 04 Nov 2015
Accepted: 27 Dec 2016
Published online: 13 Jun 2017 *