Title :
Fault isolation and identification based on adaptive parameter intervals for nonlinear dynamic systems
Author :
Li, Zetao ; Dahhou, Boutaieb
Author_Institution :
Electr. Eng. Coll., Guizhou Univ., Guiyang, China
Abstract :
A fault isolation and identification method for nonlinear dynamic systems is proposed. The method is based on parameter intervals with adaptive thresholds. Its isolation speed is fast. It provides immediately the estimate of the system faulty parameter value after the fault isolation. The superior and inferior bounds of the faulty parameter are also given. Along with the operations of the correspondent adaptive observer, the estimate of the system faulty parameter becomes more and more precise.
Keywords :
adaptive systems; nonlinear dynamical systems; observers; adaptive observer; adaptive parameter intervals; fault identification; fault isolation; nonlinear dynamic systems; system faulty parameter value estimation; Adaptive filters; Automatic control; Control systems; Estimation error; Fault detection; Fault diagnosis; Nonlinear control systems; Nonlinear dynamical systems; Observers; State estimation;
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
DOI :
10.1109/ICCA.2010.5524445
