Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm

Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm

This paper is concerned with the problem of actuator fault estimation (FE) for vehicle active suspension systems. First, the fast FE approach, which combines the output error term with its derivative term in the FE algorithm, is extended to the active suspension system with actuator fault and extern...

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Main Authors: Pan Jin, Wenping Xue, Kangji Li
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2019/1783850
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spelling doaj-0c28cb06b4b44b2f9db6fdca7ba942582020-11-24T21:35:10ZengHindawi LimitedShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/17838501783850Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic AlgorithmPan Jin0Wenping Xue1Kangji Li2School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaThis paper is concerned with the problem of actuator fault estimation (FE) for vehicle active suspension systems. First, the fast FE approach, which combines the output error term with its derivative term in the FE algorithm, is extended to the active suspension system with actuator fault and external disturbance input. Then, considering three typical kinds of actuator faults, i.e., constant gain change fault, drift fault, and stuck fault, genetic algorithm (GA) is employed to optimize the adjustable parameters in the FE algorithm, which are usually determined by trials. Finally, simulation results of FE and fault-tolerant control (FTC) are presented to illustrate the effectiveness and applicability of the proposed FE method.http://dx.doi.org/10.1155/2019/1783850
collection DOAJ
language English
format Article
sources DOAJ
author Pan Jin
Wenping Xue
Kangji Li
spellingShingle Pan Jin
Wenping Xue
Kangji Li
Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
Shock and Vibration
author_facet Pan Jin
Wenping Xue
Kangji Li
author_sort Pan Jin
title Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
title_short Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
title_full Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
title_fullStr Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
title_full_unstemmed Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
title_sort actuator fault estimation for vehicle active suspensions based on adaptive observer and genetic algorithm
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2019-01-01
description This paper is concerned with the problem of actuator fault estimation (FE) for vehicle active suspension systems. First, the fast FE approach, which combines the output error term with its derivative term in the FE algorithm, is extended to the active suspension system with actuator fault and external disturbance input. Then, considering three typical kinds of actuator faults, i.e., constant gain change fault, drift fault, and stuck fault, genetic algorithm (GA) is employed to optimize the adjustable parameters in the FE algorithm, which are usually determined by trials. Finally, simulation results of FE and fault-tolerant control (FTC) are presented to illustrate the effectiveness and applicability of the proposed FE method.
url http://dx.doi.org/10.1155/2019/1783850
work_keys_str_mv AT panjin actuatorfaultestimationforvehicleactivesuspensionsbasedonadaptiveobserverandgeneticalgorithm
AT wenpingxue actuatorfaultestimationforvehicleactivesuspensionsbasedonadaptiveobserverandgeneticalgorithm
AT kangjili actuatorfaultestimationforvehicleactivesuspensionsbasedonadaptiveobserverandgeneticalgorithm
_version_ 1725946327036067840

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