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Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm
Joint Authors
Jin, Pan
Xue, Wenping
Li, Kangji
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Jin, Pan& Xue, Wenping& Li, Kangji. 2019. Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm. Shock and Vibration،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210973
Modern Language Association (MLA)
Jin, Pan…[et al.]. Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm. Shock and Vibration No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1210973
American Medical Association (AMA)
Jin, Pan& Xue, Wenping& Li, Kangji. Actuator Fault Estimation for Vehicle Active Suspensions Based on Adaptive Observer and Genetic Algorithm. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210973