2010Unpublished venueRequires access

Parameter identification and adaptive control for improved vehicle yaw stability performance

Nazli E. Kahveci, Pétros Ioannou

Open publisher page 7 citations

Abstract

Applications of automatic steering constitute an active research field within automotive control systems. The steering performance of a vehicle can be evaluated in terms of the extent to which it is capable of following demanding road trajectories. Conventional yaw stability controllers used to restrict the extreme understeering or oversteering vehicle behavior are inevitably challenged by uncertain vehicle dynamics. We develop a simplified vehicle yaw dynamics model subject to steering angle rate constraints and introduce an adaptive yaw control design methodology in order to address possible design conflicts between steering angle rate constraints and achievable steering performance of the vehicle. Our parameter estimation scheme and adaptive control strategy can be employed in automatic steering applications with the promise of improved yaw stability performance in the presence of uncertain tire cornering stiffnesses and unknown road adhesion factor.

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What this paper is about

Applications of automatic steering constitute an active research field within automotive control systems. The steering performance of a vehicle can be evaluated in terms of the extent to which it is capable of following demanding road trajectories. Conventional yaw stability controllers used to restrict the extreme understeering or oversteering vehicle behavior are inevitably challenged by uncertain vehicle dynamics. We develop a simplified vehicle yaw dynamics model subject to steering angle rate constraints and introduce an adaptive yaw control design methodology in order to address possible design conflicts between steering angle rate constraints and achievable steering performance of the vehicle. Our parameter estimation scheme and adaptive control strategy can be employed in automatic steering applications with the promise of improved yaw stability performance in the presence of uncertain tire cornering stiffnesses and unknown road adhesion factor.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Applications of automatic steering constitute an active research field within automotive control systems. The steering performance of a vehicle can be evaluated in terms of the extent to which it is capable of following demanding road trajectories. Conventional yaw stability controllers used to restrict the extreme understeering or oversteering vehicle behavior are inevitably challenged by uncertain vehicle dynamics. We develop a simplified vehicle yaw dynamics model subject to steering angle rate constraints and introduce an adaptive yaw control design methodology in order to address possible design conflicts between steering angle rate constraints and achievable steering performance of the vehicle. Our parameter estimation scheme and adaptive control strategy can be employed in automatic steering applications with the promise of improved yaw stability performance in the presence of uncertain tire cornering stiffnesses and unknown road adhesion factor.

Key concepts: Yaw, Vehicle dynamics, Control theory (sociology), Stability (learning theory), Electronic stability control, Automotive industry, Automobile handling, Computer science

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