Title :
Performance analysis of robust fault estimation for a class of nonlinear systems
Author :
Meng, Lingya ; Jiang, Bin
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying, China
Abstract :
In this paper, performances of robust fault estimation are analyzed for a class of uncertain nonlinear systems. A novel robust fault estimation algorithm is first presented based on the assumption that the state variables are fully available. Then two approaches are provided to improve the speed and accuracy of robust fault estimation: One is the parameter choice of the fault estimation algorithm; the other is introducing a derivative component into the fault estimation algorithm. The main contributions of the study include the presentation and performance analysis of a novel robust fault estimation algorithm. The numerical simulation results demonstrate the effectiveness of the proposed schemes.
Keywords :
estimation theory; fault location; fault tolerance; nonlinear control systems; performance evaluation; robust control; uncertain systems; derivative component; parameter choice; performance analysis; robust fault estimation; state variables; uncertain nonlinear systems; Accuracy; Fault detection; Nonlinear systems; Observers; Robustness; Symmetric matrices; Accuracy; Fault estimation; Nonlinear system; Robust; Speed;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554491