Observer canonical form based robust fault detection and estimation for hyperbolic spatiotemporal dynamic systems

作     者：Xiaodong Xu Yuncheng Du Stevan Dubljevic 

作者机构：McKetta Department of Chemical EngineeringUniversity of Texas at AustinAustinTX 78712USA Department of Chemical and Biomolecular EngineeringClarkson UniversityPostdamP.O.Box 5705USA Department of Chemical and Materials EngineeringUniversity of AlbertaEdmontonAlbertaT6G 2V4Canada 

出 版 物：《IET Cyber-Systems and Robotics》 (智能系统与机器人（英文）)

年 卷 期：2020年第2卷第4期

页      面：168-180页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：estimation. estimation canonical 

摘      要：In this study,the authors propose a novel state and a fault estimation scheme for a class of hyperbolic spatiotemporal dynamic systems in the presence of unknown external *** consider the occurrence of multiplicative actuator and sensor *** detail,they consider two cases of fault occurrence:(i)only one type(actuator or sensor)of fault happens;(ii)two types of faults occur *** study discusses the fault detectability conditions by proposing a fault detection *** complete the estimation problem,three difficulties arise:(i)no prior information shows the type of faults;(ii)the observer design is non-linear due to multiplication between plant signals(state or input)and unknown fault parameters;(iii)only one boundary measurement is *** convert the original faulty plant into its observer canonical *** proposing two filters based on the resulting observer canonical form,they develop novel parameter update laws for fault parameter *** the proposed update laws,the true state of the faulty plant can be estimated by the proposed *** selecting appropriate Lyapunov functions,they prove that estimation error of state and fault parameters exponentially decays to an arbitrarily small neighbourhood of zero despite unknown external disturbance.