Title :
Optimal robust fault detection for networked flight control systems with Markovian packet dropouts
Author :
Wang Qing ; Wang Zhaolei ; Dong Chaoyang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., BUAA, Beijing, China
Abstract :
In this article, the fault detection problem for the networked flight control systems with packet dropout is investigated. The networked flight control systems with periodic packet dropouts are treated as a varying sampling rate system. Refer to the non-periodic packet dropout that could be described as a Markov process, the varying sampling rate networked control system could be farther modeled as a discrete-time Markov jump linear system. Based on this model, considering a more general situation that the transition probabilities are partially known, a fault detection filter is established whose robust performance index is optimal. Meanwhile the corresponding fault detection problem can be transformed to an LMI optimization problem, and sufficient conditions to solve this problem are simultaneity derived. Finally, a networked flight control system is considered to validate the effectiveness and potential of the proposed method.
Keywords :
Markov processes; aerospace control; discrete time systems; fault diagnosis; linear matrix inequalities; linear systems; networked control systems; optimal control; optimisation; robust control; sampling methods; LMI optimization problem; Markov process; Markovian packet dropout; discrete-time Markov jump linear system; fault detection filter; linear matrix inequalities; networked flight control system; nonperiodic packet dropout; optimal robust fault detection; transition probability; varying sampling rate system; Aerospace control; Fault detection; Filtering theory; Markov processes; Mathematical model; Networked control systems; Robustness; Fault detection; Markovian jump systems; Networked control systems; partially known transition probabilities;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561829