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A new approach for main/flap fin rolling motion stabilization fault diagnosis control using fuzzy neural networks

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3 Author(s)
Rong Sun ; College of Automation, Harbin Engineering University, China ; Sheng Liu ; Lanyong Zhang

In actual engineering, a simple robust fault tolerant control is difficult to improve the control precision, either a simple reconstruction of fault-tolerant control is limited by the time-delay of fault diagnosis sub-systems. Considering that, this paper first put forward the theory of fault-tolerant control of ship main/flap fin, in which combined organically with the robust fault-tolerant control, fault diagnosis and fault-tolerant control reconfiguration, integrated intelligent fault-tolerant control system. Based on failure mechanism, established the fault tree, and then decomposed the fault tree's minimal cut sets to discriminate all possible failure modes and weak links. so it can improve the performance of fault-tolerant control system implementation, as well as reduce the difficulty.

Published in:

Computer Science and Information Processing (CSIP), 2012 International Conference on

Date of Conference:

24-26 Aug. 2012