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Evaluation of Ride Comfort for Active Suspension System Based on Selftuning Fuzzy Sliding Mode Control

Chun-Yu Hsiao* and Yu-Hsien Wang
International Journal of Control, Automation, and Systems, vol. 20, no. 4, pp.1131-1141, 2022

Abstract : This paper describes the application of a self-tuning fuzzy sliding mode controller (STFSMC) to design the control signal of an electro-hydraulic actuator under standard road excitation based on ISO 8608. The proposed damper was designed to achieve effective vibration isolation with an actuator force. The proposed damper was incorporated into a quarter-car system through experiments for the subsequent dynamic analysis of the suspension system. A single-input single-output (SISO) fuzzy inference was strategically used to regulate the slope of a sliding surface. In addition, the fuzzy control methodology was applied to achieve self-tuning online output of the scale factor of the fuzzy sliding mode controller. The comfortable riding time and ride comfort level were also evaluated based on ISO 2631-1. Experimental results revealed that the proposed controller demonstrated evident improvements in vehicle vibration suppression and the ride quality in comparison with passive and fuzzy logic controller control systems.

Keyword : "Active suspension systems, fuzzy sliding mode control, ride comfort, self-tuning. "

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