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机构地区:[1]Research Center of Satellite Technology,Harbin Institute of Technology
出 处:《Transactions of Tianjin University》2012年第5期343-349,共7页天津大学学报(英文版)
基 金:Supported by National Natural Science Foundation of China (No. 61104026);Open Fund for National Defense Key Subject Laboratory ofSmall Spacecraft Technology (No. HIT. KLOF. 2009092)
摘 要:To investigate the robust fault detection (RFD) observer design for linear uncertain systems, the H_index and H∞ norm are used to describe this observer design as optimization problems. Conditions for the existence of such a fault detection observer are given in terms of matrix inequalities. The solution is obtained by new iterative linear matrix inequality (ILMI) algorithms. The RFD observer design over finite frequency range in which Of does not have full column rank for a system is also considered. Numerical example demonstrates that the designed fault detection observer has high sensitivity to the fault and strong robustness to the unknown input.To investigate the robust fault detection(RFD) observer design for linear uncertain systems,the H_ index and H ∞ norm are used to describe this observer design as optimization problems.Conditions for the existence of such a fault detection observer are given in terms of matrix inequalities.The solution is obtained by new iterative linear matrix inequality(ILMI) algorithms.The RFD observer design over finite frequency range in which D f does not have full column rank for a system is also considered.Numerical example demonstrates that the designed fault detection observer has high sensitivity to the fault and strong robustness to the unknown input.
关 键 词:fault detection OBSERVER ROBUSTNESS sensitivity linear matrix inequality (LMI)
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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