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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2015 Vol.5(2): 145-149 ISSN: 2010-3697
DOI: 10.7763/IJMO.2015.V5.451

Research of Sensor Fault-Tolerant Control Based on CSA-SVR Algorithm for EMB Actuator System

Yuxue Wang, Yinan Xu, Yihu Xu, and Yonghu Ma
Abstract—The electro mechanical brake (EMB) system is a efficient pure electric vehicle braking system in where technologies in the fields of electronics, mechanics, and vehicle communication network were considered at the same time. Because that offered information to the electronic control of the EMB system is taken from several detectors, during developments of the pure electric vehicle, unsolved difficulties in EMB system are the accurate fault detection as well as the timely process of a fault tolerant control. In this paper, the fault detection and the fault tolerant control on the mathematical models of a current, a speed, and a pressure detector loaded on the EMB actuator system will be studied. Based on the three-loop control architecture model of the EMB actuator, these models of detectors are constructed by the method of the dynamics analysis of the actuating agency respectively. On the purpose of improving the accuracy of fault detection, the clonal selection - support vector regression algorithm (CSA-SVR) is proposed, which is a combination of CSA and SVR calculation methods. Through CSA-SVR algorithm, optimized parameters of support vector machine (SVM) and improved accuracy of fault detection are obtained. The adaptive fault tolerant control architectural model mentioned which is designed using CSA-SVR algorithm in this paper shows effective function in fault detection, isolation from fault, and fault estimation.

Index Terms—Electro mechanical brake, fault diagnosis, fault reconstruction, support vector machine, clonal selection algorithm.

The authors are with the Division of Electronics and Communication Engineering of Yanbian University, Yanji, China (e-mail: 2014050258@ybu.edu.cn, ynxu@ybu.edu.cn, yhxu@ybu.edu.cn, yhma@ybu.edu.cn).

[PDF]

Cite: Yuxue Wang, Yinan Xu, Yihu Xu, and Yonghu Ma, "Research of Sensor Fault-Tolerant Control Based on CSA-SVR Algorithm for EMB Actuator System," International Journal of Modeling and Optimization vol. 5, no. 2, pp. 145-149, 2015.

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