Reliability Monitoring of Fault Tolerant Control Systems with Demonstration on an Aircraft Model
Author(s) -
Hongbin Li,
Qing Zhao,
Zhenyu Yang
Publication year - 2007
Publication title -
journal of control science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 18
eISSN - 1687-5257
pISSN - 1687-5249
DOI - 10.1155/2008/265189
Subject(s) - reliability (semiconductor) , reliability engineering , markov model , markov chain , index (typography) , engineering , monte carlo method , fault tolerance , markov process , controller (irrigation) , fault (geology) , fault detection and isolation , computer science , control theory (sociology) , control (management) , mathematics , statistics , actuator , electrical engineering , artificial intelligence , world wide web , biology , power (physics) , quantum mechanics , machine learning , agronomy , physics , seismology , geology
This paper proposes a reliability monitoring scheme for active fault tolerant controlsystems using a stochastic modeling method. The reliability index is defined based onsystem dynamical responses and a safety region; the plant and controller are assumed tohave a multiple regime model structure, and a semi-Markov model is built for reliabilityevaluation based on the safety behavior of each regime model estimated by using MonteCarlo simulation. Moreover, the history data of fault detection and isolation decisions isused to update its transition characteristics and reliability model. This method provides anup-to-date reliability index as demonstrated on an aircraft model
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