2011Unpublished venueRequires access

Fuzzy control for vehicle stability

Xiaobin Fan, Bing-xu Fan, Huigang Wang

Open publisher page 6 citations

Abstract

An 8-dof vehicle nonlinear dynamic model was established with the linear 2-dof vehicle handling characteristics model as the target control. The vehicle stability control system yaw and yaw rate combined fuzzy control simulation model was established based on automobile yaw moment and vehicle state deviation between the dynamic relationship. Through the hook simulation test, which shows that the active yaw control system can make the vehicle steadily drive.

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What this paper is about

An 8-dof vehicle nonlinear dynamic model was established with the linear 2-dof vehicle handling characteristics model as the target control. The vehicle stability control system yaw and yaw rate combined fuzzy control simulation model was established based on automobile yaw moment and vehicle state deviation between the dynamic relationship. Through the hook simulation test, which shows that the active yaw control system can make the vehicle steadily drive.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An 8-dof vehicle nonlinear dynamic model was established with the linear 2-dof vehicle handling characteristics model as the target control. The vehicle stability control system yaw and yaw rate combined fuzzy control simulation model was established based on automobile yaw moment and vehicle state deviation between the dynamic relationship. Through the hook simulation test, which shows that the active yaw control system can make the vehicle steadily drive.

Key concepts: Yaw, Control theory (sociology), Fuzzy control system, Vehicle dynamics, Automobile handling, Electronic stability control, Stability (learning theory), Fuzzy logic

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