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

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.