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An Experimental Study On Lateral Control Of A Vehicle

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TLDR
In this paper, the performance and limitations of a PID/feedforward controller are investigated with respect to tracking accuracy of straight and curved sections as well as robustness to changes in load, longitudinal velocity, and cornering stiffness.
Abstract
Addresses issues regarding the implementation of an integration of several specific technologies involved in achieving lateral guidance of an experimental automotive vehicle on an automated highway. Results demonstrate the feasibility of the proposed discrete magnetic marker reference/sensing system. In addition, the performance and limitations of a PID/feedforward controller is investigated with respect to tracking accuracy of straight and curved sections as well as robustness to changes in load, longitudinal velocity, and cornering stiffness.

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Citations
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Smart cars on smart roads: problems of control

TL;DR: In this paper, an automated intelligent vehicle/highway system (IVHS) is described, and a four-layer hierarchical control architecture is proposed to decompose this problem into more manageable units.
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Sketch of an IVHS systems architecture

TL;DR: In this paper, the authors present a sketch of a general architectural framework within which IVHS systems can carry out a wide range of management and control functions, including stabilizing individual vehicles along nominal trajectories to adapting traffic flows to changing demands.
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Fuzzy logic control for lateral vehicle guidance

TL;DR: The experimental test results of the FLCs, which are designed based on an implicit model of the vehicle, are shown, and a comparison is made to similar tests conducted using the frequency shaped LQ controller as well as PID controller.
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Vehicle Steering Intervention Through Differential Braking

TL;DR: In this article, the authors examined the usefulness of a brake steer system (BSS) which uses differential brake forces for steering intervention in the context of Intelligent Transportation Systems (ITS).
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Lane change maneuver of automobiles for the intelligent vehicle and highway system (IVHS)

TL;DR: In this article, a vehicle is controlled to follow the virtual desired trajectory using only on-board sensors, assuming no direct measurement of its position during transition from one lane to another.
References
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Proceedings ArticleDOI

Vehicle Lateral Control for Highway Automation

TL;DR: In this article, the authors proposed a frequency-shaped linear quadratic (FSLQ) control theory for lateral feedback and feed-forward adaptive control for highway automation, which allows to track the center of a lane with small error and maintain good ride quality under different vehicle speeds, loads, wind gust disturbances, and road conditions.
Proceedings ArticleDOI

An Intelligent Roadway Reference System for Vehicle Lateral Guidance/Control

TL;DR: An Intelligent Vehicle/Highway System (IVHS) may require a multifunctional roadway reference system, consisting of roadway reference and vehicle sensing elements which can transmit necessary information for vehicle lateral guidance/control.
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