2000•International Journal of Vehicle DesignRequires access

Antilock brake system modelling and fuzzy control

Anthony Will, Stanisław H. Żak

Open publisher page 31 citations

Abstract

A vehicle braking model for straight line braking analysis is presented. This model includes the longitudinal vehicle dynamics, tyre dynamics, and road surface model. The developed model is tested on an asphalt surface on a step brake input. A fuzzy logic antilock brake system (ABS) controller is proposed to minimize the stopping distance under emergency braking conditions. The performance of the fuzzy logic controller with a manual brake system in an emergency braking manoeuvre is compared. (A)

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What this paper is about

A vehicle braking model for straight line braking analysis is presented. This model includes the longitudinal vehicle dynamics, tyre dynamics, and road surface model. The developed model is tested on an asphalt surface on a step brake input. A fuzzy logic antilock brake system (ABS) controller is proposed to minimize the stopping distance under emergency braking conditions. The performance of the fuzzy logic controller with a manual brake system in an emergency braking manoeuvre is compared. (A)

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A vehicle braking model for straight line braking analysis is presented. This model includes the longitudinal vehicle dynamics, tyre dynamics, and road surface model. The developed model is tested on an asphalt surface on a step brake input. A fuzzy logic antilock brake system (ABS) controller is proposed to minimize the stopping distance under emergency braking conditions. The performance of the fuzzy logic controller with a manual brake system in an emergency braking manoeuvre is compared. (A)

Key concepts: Brake, Automotive engineering, Engineering, Fuzzy control system, Anti-lock braking system, Fuzzy logic, Control (management), Control engineering

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