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Reseach Article

Fault Tolerant Control using Model Reference Adaptive Controller Method

Published on May 2012 by Santosh S. Raghuwanshi, Yamini Mokhariwale, Ankita Singh
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 8
May 2012
Authors: Santosh S. Raghuwanshi, Yamini Mokhariwale, Ankita Singh
046d93d2-5990-41e3-b772-85db1a05785f

Santosh S. Raghuwanshi, Yamini Mokhariwale, Ankita Singh . Fault Tolerant Control using Model Reference Adaptive Controller Method. National Conference on Recent Trends in Computing. NCRTC, 8 (May 2012), 10-14.

@article{
author = { Santosh S. Raghuwanshi, Yamini Mokhariwale, Ankita Singh },
title = { Fault Tolerant Control using Model Reference Adaptive Controller Method },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 8 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 10-14 },
numpages = 5,
url = { /proceedings/ncrtc/number8/6572-1062/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Santosh S. Raghuwanshi
%A Yamini Mokhariwale
%A Ankita Singh
%T Fault Tolerant Control using Model Reference Adaptive Controller Method
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 8
%P 10-14
%D 2012
%I International Journal of Computer Applications
Abstract

Stimulated by the growing demand for improving system performance and reliability, fault-tolerant system design has been receiving significant attention. This paper proposes a new fault-tolerant control methodology using model reference adaptive controller method based on the learning capabilities of neural networks or fuzzy systems. Moreover, the fault-tolerance ability of the adaptive controller has been further improved by exploiting information estimated from a fault-diagnosis unit designed by interfacing multiple models with an expert supervisory scheme.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fault-tolerant Control Adaptive Control Neural/fuzzy Control Fault Diagnosis Artificial Intelligence Methods