Fault detection and accommodation via neural network and variable structure control
Hao YANG
Bin JIANG
摘要：This paper proposes a novel idea that classifies faults into two different kinds: serious faults and small faults,and treats them with different strategies respectively. A kind of artificial neural network (ANN) is proposed for detecting serious faults, and variable structure (VS) model-following control is constructed for accommodating small faults. The proposed framework takes both advantages of qualitative way and quantitative way of fault detection and accommodation.Moreover, the uncertainty case is investigated and the VS controller is modified. Simulation results of a remotely piloted aircraft with control actuator failures illustrate the performance of the developed algorithm.
机标关键词：variable structure controlartificial neural networkactuator failuresfault detection
分类号：TP3(计算技术、计算机技术)
资助基金：国家自然科学基金(60574083)Key Laboratory of Process Industry Automation, Ministry of Education of China(PAL200514)Innovation Scientific Fund of Nanjing University of Aeronautics and Astronautics(Y0508-031)
论文发表日期：2007-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 253-260 )
英文信息