Steering and suspension system of a full car model using fuzzy reasoning and disturbance observers
by Toshio Yoshimura, Yota Emoto
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 1, No. 3/4, 2003

Abstract: This paper presents the development of a steering and suspension system of a full car model subject to road and wind disturbances by using fuzzy reasoning and disturbance observers. The time variations of the road and wind disturbances are estimated by using the minimum-order observer. The steering angles of front/rear wheels are determined by using the feed-forward control derived from the disturbance observer for the side force of wind and the feedback control derived from fuzzy reasoning. The suspension controls at front/rear and left/right suspension locations are respectively determined by using fuzzy reasoning. The fuzzy reasoning is based on single input rule modules to reduce fuzzy control rules. The simulation result indicates that the proposed steering and suspension system is very effective in the performance of vehicle maneuverability and ride comfort.

Online publication date: Mon, 10-May-2004

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