Fault diagnosis method for stochastic systems with unknown parameters
作者单位：Research Center of Autonomous Unmanned Systems Research Institute Xi'an Technological University School of automation and information engineering Xi'an University of technology
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术]
基 金：supported by the National Natural Science Foundation of China(61773016) Science and Technology Program of Shaanxi Province,China(2017SF-142) Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing(2016CP02)
关 键 词：Dual control Parameter decay rate Kalman filter Lqg control Rolling control algorithm
摘 要：The problem of fault diagnosis in stochastic systems with unknown parameters is studied within dual control concept. This paper puts forward a conception of logic parameter decay rate based on the threshold, and has designed a rolling control algorithm learning control law based on Kalman filtering theory and Lqg control law, while this algorithm can estimate the parameters, on the side of the parameter learning, the system has good fault tolerance ability, thus more accurate fault detection and isolation, the simulation results verify the effectiveness of the proposed method.