Optimal Design of Fault-Tolerant Controller for an Electric Power Steering System with Sensor Failures Using Genetic Algorithm
Joint Authors
Pang, Hui
Liu, Xue
Shang, Yuting
Wu, Wen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper focuses on the fault-tolerant control (FTC) problem for an electric power steering (EPS) system subjected to stochastic sensor failures, and a novel fault-tolerant controller is proposed based on the genetic algorithm (GA).
A mathematical model of the EPS system with sensor failures is first established, and the state feedback control law is solved by using linear quadratic regulator techniques to stabilize the closed-loop control system.
Then, the dynamic response errors of the EPS system with and without sensor faults are chosen as the optimization objective function.
Furthermore, the appropriate weighting matrices are evaluated to obtain the optimal fault control law by using GA.
Finally, simulation results are presented to illustrate the effectiveness of the proposed control strategy.
American Psychological Association (APA)
Liu, Xue& Pang, Hui& Shang, Yuting& Wu, Wen. 2018. Optimal Design of Fault-Tolerant Controller for an Electric Power Steering System with Sensor Failures Using Genetic Algorithm. Shock and Vibration،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215065
Modern Language Association (MLA)
Liu, Xue…[et al.]. Optimal Design of Fault-Tolerant Controller for an Electric Power Steering System with Sensor Failures Using Genetic Algorithm. Shock and Vibration No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1215065
American Medical Association (AMA)
Liu, Xue& Pang, Hui& Shang, Yuting& Wu, Wen. Optimal Design of Fault-Tolerant Controller for an Electric Power Steering System with Sensor Failures Using Genetic Algorithm. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215065