Title :
Fault identification for a class of linear systems based on adaptive observer
Author :
Staroswiecki, Marcel ; Jiang, Bin
Author_Institution :
Univ. des Sci. et Technol. de Lille Flandres Artois, Villeneuve d´´Ascq, France
Abstract :
In this paper, two adaptive observers are designed for fault identification of linear systems. The first observer is based on optimal design such that the estimation error of the fault is minimized. The second observer can achieve asymptotic fault estimation. Simulation of sensor fault diagnosis for an induction motor is presented to verify the effectiveness of the proposed method
Keywords :
adaptive estimation; fault diagnosis; induction motors; linear systems; observers; adaptive observers; asymptotic fault estimation; estimation error; fault identification; induction motor; linear systems; sensor fault diagnosis; Actuators; Adaptive control; Adaptive systems; Control systems; Fault detection; Fault diagnosis; Induction motors; Linear systems; State estimation; Switches;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980599
