Title: A modified extreme seeking-based adaptive fuzzy sliding mode control scheme for vehicle anti-lock braking

Authors: Wenfei Li; Haiping Du; Weihua Li

Addresses: School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, Wollongong 2522, New South Wales, Australia ' School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, Wollongong 2522, New South Wales, Australia ' School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Wollongong 2522, New South Wales, Australia

Abstract: Vehicle Anti-lock Braking Systems (ABS) are designed to optimise vehicle braking performance but there are some challenges for their control. One of the challenges is that the optimal slip ratio is difficult to obtain in real time and it can differ under different road conditions. Another challenge is that ABS are non-linear and many of their parameters are difficult to identify in advance. To solve these problems, a new extreme seeking-based adaptive fuzzy sliding mode control strategy is proposed. The proposed Modified Sliding Mode-based Extreme Seeking (MSMES) algorithm is able to avoid the large oscillation and automatically search for the optimal slip ratio. An Adaptive Fuzzy Sliding Mode Controller (AFSMC) is designed to mimic an ideal controller. The simulation results show that the integrated control scheme MSMES-AFSMC is able not only to search for the optimal slip ratio under different road conditions but also has a better braking performance than the conventional COSR for ABS.

Keywords: anti-lock braking system; extreme seeking; adaptive fuzzy sliding mode control; adaptive non-linear observer.

DOI: 10.1504/IJVAS.2020.104808

International Journal of Vehicle Autonomous Systems, 2020 Vol.15 No.1, pp.1 - 25

Received: 02 Jun 2017
Accepted: 24 Apr 2018

Published online: 31 Jan 2020 *

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