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Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task

Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task AbstractDespite the advanced technologies used in recent years, the lack of robust systems still exists. The automated steering system is a critical and complex task in the domain of the autonomous vehicle’s applications. This paper is a part of project that deals with model-based control strategy as one of the most common control strategies. The main objective is to present the implementations of Model Predictive Control (MPC) for an autonomous vehicle steering system in regards to trajectory tracking application. The obtained results are analysed and the efficiency of the use of MPC controller were discussed based on its behaviour and performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Universitatis Sapientiae Electrical and Mechanical Engineering de Gruyter

Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task

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Publisher
de Gruyter
Copyright
© 2020 Ahmad Reda et al., published by Sciendo
eISSN
2066-8910
DOI
10.2478/auseme-2020-0003
Publisher site
See Article on Publisher Site

Abstract

AbstractDespite the advanced technologies used in recent years, the lack of robust systems still exists. The automated steering system is a critical and complex task in the domain of the autonomous vehicle’s applications. This paper is a part of project that deals with model-based control strategy as one of the most common control strategies. The main objective is to present the implementations of Model Predictive Control (MPC) for an autonomous vehicle steering system in regards to trajectory tracking application. The obtained results are analysed and the efficiency of the use of MPC controller were discussed based on its behaviour and performance.

Journal

Acta Universitatis Sapientiae Electrical and Mechanical Engineeringde Gruyter

Published: Dec 1, 2020

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