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Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is...

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Autores principales: Wu, Liping, Zhou, Ran, Bao, Junshan, Yang, Guang, Sun, Feng, Xu, Fangchao, Jin, Junjie, Zhang, Qi, Jiang, Weikang, Zhang, Xiaoyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783117/
https://www.ncbi.nlm.nih.gov/pubmed/36560162
http://dx.doi.org/10.3390/s22249791
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author Wu, Liping
Zhou, Ran
Bao, Junshan
Yang, Guang
Sun, Feng
Xu, Fangchao
Jin, Junjie
Zhang, Qi
Jiang, Weikang
Zhang, Xiaoyou
author_facet Wu, Liping
Zhou, Ran
Bao, Junshan
Yang, Guang
Sun, Feng
Xu, Fangchao
Jin, Junjie
Zhang, Qi
Jiang, Weikang
Zhang, Xiaoyou
author_sort Wu, Liping
collection PubMed
description Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.
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spelling pubmed-97831172022-12-24 Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control Wu, Liping Zhou, Ran Bao, Junshan Yang, Guang Sun, Feng Xu, Fangchao Jin, Junjie Zhang, Qi Jiang, Weikang Zhang, Xiaoyou Sensors (Basel) Article Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller. MDPI 2022-12-13 /pmc/articles/PMC9783117/ /pubmed/36560162 http://dx.doi.org/10.3390/s22249791 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Liping
Zhou, Ran
Bao, Junshan
Yang, Guang
Sun, Feng
Xu, Fangchao
Jin, Junjie
Zhang, Qi
Jiang, Weikang
Zhang, Xiaoyou
Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title_full Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title_fullStr Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title_full_unstemmed Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title_short Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control
title_sort vehicle stability analysis under extreme operating conditions based on lqr control
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783117/
https://www.ncbi.nlm.nih.gov/pubmed/36560162
http://dx.doi.org/10.3390/s22249791
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