quotation:		[Copy]
		Hao YANG,Bin JIANG.[en_title][J].Control Theory and Technology,2007,5(3):253~260.[Copy]

This Paper:Browse 985 Download 101	码上扫一扫！

HaoYANG,BinJIANG
0 Fontlarge +\|Default\|Small
()

摘要:

关键词:

DOI：

Received:August 17, 2005Revised:December 25, 2006

基金项目:

Fault detection and accommodation via neural network and variable structure control

Hao YANG, Bin JIANG

(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China;LAGIS-CNRS,UMR 8146,Universit′e des Sciences et Technologies de Lille, Villeneuve d’Ascq cedex 59655, France))

Abstract:

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.

Key words: Fault detection Fault accommodation Neural network Variable structure control