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Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles

A multiple-actuator fault isolation approach for overactuated electric vehicles (EVs) is designed with a minimal [Formula: see text]-norm solution. As the numbers of driving motors and steering actuators increase beyond the number of controlled variables, an EV becomes an overactuated system, which...

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Autores principales: Park, Jinseong, Park, Youngjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949708/
https://www.ncbi.nlm.nih.gov/pubmed/35336319
http://dx.doi.org/10.3390/s22062144
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author Park, Jinseong
Park, Youngjin
author_facet Park, Jinseong
Park, Youngjin
author_sort Park, Jinseong
collection PubMed
description A multiple-actuator fault isolation approach for overactuated electric vehicles (EVs) is designed with a minimal [Formula: see text]-norm solution. As the numbers of driving motors and steering actuators increase beyond the number of controlled variables, an EV becomes an overactuated system, which exhibits actuator redundancy and enables the possibility of fault-tolerant control (FTC). On the other hand, an increase in the number of actuators also increases the possibility of simultaneously occurring multiple faults. To ensure EV reliability while driving, exact and fast fault isolation is required; however, the existing fault isolation methods demand high computational power or complicated procedures because the overactuated systems have many actuators, and the number of simultaneous fault occurrences is increased. The method proposed in this paper exploits the concept of sparsity. The underdetermined linear system is defined from the parity equation, and fault isolation is achieved by obtaining the sparsest nonzero component of the residuals from the minimal [Formula: see text]-norm solution. Therefore, the locations of the faults can be obtained in a sequence, and only a consistently low computational load is required regardless of the isolated number of faults. The experimental results obtained with a scaled-down overactuated EV support the effectiveness of the proposed method, and a quantitative index of the sparsity condition for the target EV is discussed with a CarSim-connected MATLAB/Simulink simulation.
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spelling pubmed-89497082022-03-26 Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles Park, Jinseong Park, Youngjin Sensors (Basel) Article A multiple-actuator fault isolation approach for overactuated electric vehicles (EVs) is designed with a minimal [Formula: see text]-norm solution. As the numbers of driving motors and steering actuators increase beyond the number of controlled variables, an EV becomes an overactuated system, which exhibits actuator redundancy and enables the possibility of fault-tolerant control (FTC). On the other hand, an increase in the number of actuators also increases the possibility of simultaneously occurring multiple faults. To ensure EV reliability while driving, exact and fast fault isolation is required; however, the existing fault isolation methods demand high computational power or complicated procedures because the overactuated systems have many actuators, and the number of simultaneous fault occurrences is increased. The method proposed in this paper exploits the concept of sparsity. The underdetermined linear system is defined from the parity equation, and fault isolation is achieved by obtaining the sparsest nonzero component of the residuals from the minimal [Formula: see text]-norm solution. Therefore, the locations of the faults can be obtained in a sequence, and only a consistently low computational load is required regardless of the isolated number of faults. The experimental results obtained with a scaled-down overactuated EV support the effectiveness of the proposed method, and a quantitative index of the sparsity condition for the target EV is discussed with a CarSim-connected MATLAB/Simulink simulation. MDPI 2022-03-10 /pmc/articles/PMC8949708/ /pubmed/35336319 http://dx.doi.org/10.3390/s22062144 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
Park, Jinseong
Park, Youngjin
Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title_full Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title_fullStr Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title_full_unstemmed Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title_short Multiple-Actuator Fault Isolation Using a Minimal ℓ(1)-Norm Solution with Applications in Overactuated Electric Vehicles
title_sort multiple-actuator fault isolation using a minimal ℓ(1)-norm solution with applications in overactuated electric vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949708/
https://www.ncbi.nlm.nih.gov/pubmed/35336319
http://dx.doi.org/10.3390/s22062144
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