A New Approach for Main/Flap Fin Rolling Motion Stabilization Fault Diagnosis Control Using Fuzzy Neural Networks

摘要：

In actual engineering,a simple robust fault tolerant control is difficult to improve the control precision,either a simple reconstruction of faulttolerant 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 trees minimal cut sets to discriminate all possible failure modes and weak links,so it can improve the performance of faulttolerant control system implementation,as well as reduce the difficulty.

关键词： Main/flap fin rolling motion stabilization fault diagnosis neutral networks

作者: Rong Sun Sheng Liu Lanyong Zhang

作者单位: College of Automation ,Harbin Engineering University ,150001,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2530-2533

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）