Title :
Design of a class of non-linear observers for fault diagnosis
Author :
Henry, D. ; Zolghadri, A. ; Monsion, M.
Author_Institution :
Lab. d´Autom. et de Productique, Univ. Bordeaux I, Talence, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
This communication deals with the problem of fault detection for a class of nonlinear systems using unknown input observers. Sufficient conditions for existence and stability of such observers are investigated. Based on linear matrix inequality (LMI) approach a design algorithm is proposed. The procedure includes constraints on detection performances and robustness to unknown inputs. Simulations results applied to a permanent magnet synchronous machine illustrate the potential of the method.
Keywords :
fault diagnosis; linear matrix inequalities; nonlinear control systems; observers; stability; LMI; design algorithm; detection performances; fault detection; fault diagnosis; linear matrix inequality; nonlinear observers; nonlinear systems; permanent magnet synchronous machine; stability; unknown input observers; Linear matrix inequalities; Mathematical model; Nonlinear systems; Observers; Robustness; Stability analysis; Symmetric matrices; Fault detection and isolation; linear matrix inequalities; nonlinear systems; observers; robustness;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
