Fuzzy Logic Controller Designing of an Active Roll Control System for Medium and Large Size Vehicles

Abstract:

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The roll / ride trade-off is a long-standing challenge to vehicle dynamicists. Achieving better ride performance almost inevitably leads to increased roll of the vehicle. This roll motion, mostly induced by maneuvering, leads to undesirable handling characteristics and subsequently higher risk of rollover. This paper analyses the use of an Active Roll Control (ARC) system with a Fuzzy Logic Controller (FLC) for improving the handling without sacrificing the ride comfort. The logic for reducing the roll angle of the vehicle is to have some forces exerted by linear actuators on the suspension system, depending on the velocity and steering angle of the vehicle. These forces create a moment about the roll axis which decreases the roll angle. The proposed Fuzzy logic controller is a feedback controller which outputs the correcting roll moment about the roll axis. The effects of employing such a control system are evaluated through computer simulation. Torsional stiffness of the chassis is then taken into consideration to account for unique properties of large-size vehicles. Simulation results with Fuzzy logic controller are very promising and show that the roll performance is significantly improved compared to the vehicle without ARC.

Info:

Periodical:

Edited by:

Wu Fan

Pages:

4845-4855

DOI:

10.4028/www.scientific.net/AMM.110-116.4845

Citation:

P. Hajishafieiha "Fuzzy Logic Controller Designing of an Active Roll Control System for Medium and Large Size Vehicles", Applied Mechanics and Materials, Vols. 110-116, pp. 4845-4855, 2012

Online since:

October 2011

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Price:

$35.00

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