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Design of fault‐tolerant control for MTTF
Author(s) -
Li Hongbin,
Zhao Qing
Publication year - 2008
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1303
Subject(s) - mean time between failures , reliability (semiconductor) , controller (irrigation) , probabilistic logic , reliability engineering , computer science , control theory (sociology) , scheme (mathematics) , convergence (economics) , fault tolerance , failure rate , engineering , control (management) , mathematics , artificial intelligence , mathematical analysis , agronomy , power (physics) , physics , quantum mechanics , biology , economics , economic growth
Mean time to failure (MTTF) is an important reliability index of fault‐tolerant control systems, which is chosen as a design objective in this paper. However, it is usually evaluated from stochastic reliability models, and no analytical expression is available to relate MTTF to controller parameters. To overcome this difficulty, a two‐stage design scheme is proposed in this paper: A gradient‐based search is firstly carried out on probabilistic H ∞ performance characteristics for MTTF requirement; a sequential randomized algorithm with a weighted violation function is then developed for a controller design to satisfy the required H ∞ performance, and its convergence is guaranteed with probability 1. Two iterative algorithms are carried out alternately to implement this scheme, and a controller can be designed for MTTF requirement. Copyright © 2008 John Wiley & Sons, Ltd.
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