摘要
Robust fault diagnosis problems based on adaptive observer technique are studied for a class of time delayed nonlinear system with external disturbance. Adaptive fault updating laws were designed to estimate the fault and to guarantee the stability of the diagnosis system. The effects of adjusting parameters in adaptive fault updating laws on the fault estimation accuracy were analyzed. For a designed fault diagnosis system,the super bounds of the state estimation error and fault estimation error of the adaptive observer were discussed,which further showed how the parameters in the adaptive fault updating laws influenced the fault estimation accuracy. Simulation example demonstrates the effectiveness of the proposed methods and the analysis results.
Robust fault diagnosis problems based on adaptive observer technique are studied for a class of time delayed nonlinear system with external disturbance. Adaptive fault updating laws were designed to estimate the fault and to guarantee the stability of the diagnosis system. The effects of adjusting parameters in adaptive fault updating laws on the fault estimation accuracy were analyzed. For a designed fault diagnosis system, the super bounds of the state estimation error and fault estimation error of the adaptive observer were discussed, which further showed how the parameters in the adaptive fault updating laws influenced the fault estimation accuracy. Simulation example demonstrates the effectiveness of the proposed methods and the analysis results.
基金
the National Natural Science Foundation of China (Grant No.60572070, 60521003, 60774048, 60774093)
Open Project Foundation of Key Laboratory of Process Industry Automation, Ministry of Education China (Grant No.PAL200503)
the China Postdoctoral Science Foundation (Grant No.20060400962).
关键词
非线性系统
错误鉴别
适应观测器
时间延迟
nonlinear system
fault diagnosis
adaptive observer
time delay
adaptive updating law
