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Predictive Control of an Autonomous Ground Vehicle for Lane-Keeping

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This paper presents a model predictive control approach for the lane-keeping of autonomous ground vehicle. A linearize, four degree of freedom vehicle model is used to design a linear constrained model predictive controller. The control action of the predictive controller is based on the vehicle’s lateral position, angular position and input disturbance. A pole-placement technique is applied to the system for stability. The constrained model predictive controller is subjected to specified performance objective for accomplishing the lane-keeping of a ground vehicle. Stability of the closed-loop system is analyzed in the time domain. The simulation results validated that, during the exposure to input disturbance, the proposed control strategy is capable to keep the vehicle within the lane.

Keywords: Autonomous Vehicle; Lane-Keeping; Model Predictive Control; Pole-Placement

Document Type: Research Article

Affiliations: School of Electrical and Electronic Engineering, University Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Malaysia

Publication date: 01 October 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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