Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


Application of High Gain Nonlinear Observers for fault Detection and Isolation

A review of some results on the design of high gain observers for a specific class of control affine nonlinear systems is first presented.Then the so-called fundamental problem of residual generation (FPRG) is stated for control affine nonlinear systems. This problem amounts to generating, from measured plant inputs and outputs, signals called residuals that are nominally equal to zero in the absence of faults and become significantly different from zero upon occurrence of specific faults. A method is presented to design residual generators using high gain observers, and sufficient conditions for the existence of a solution to the FPRG are presented. The methodology is illustrated by application to a model of a hydraulic jack, and simulation results are presented.

Type of Seminar:
Public Seminar
Prof. Michael Kinnaert
Control Engineering Dept, Université Libre de Bruxelles, CP 165/55 B-1050 Brussels Belgium
Jan 19, 2000   17:15

ETH Zurich, Gloriastr.6, 8006 Zurich, ETZ E6
Contact Person:

Dr. F. Kraus
No downloadable files available.
Biographical Sketch:
Michel Kinnaert graduated in 1983 from 'Université Libre de Bruxelles' (U.L.B.) as a mechanical and electrical engineer. He received the M.S. degree in electrical engineering from Stanford University in 1984, and the PhD degree from U.L.B. in 1987. He was employed for 6 years from 1984 to 1990 by the Belgian National Fund for Scientific Research. In 1987 he was a visiting scientist in the Department of Electrical Engineering and Computer Science of the University of Newcastle (Australia) for 6 months. In 1990, he was appointed by ULB where he is now associate professor in the Department of Control Engineering and System Analysis. He also held two visiting professor positions at the LAGEP in 'Université Claude Bernard Lyon 1' (Lyon, France). His research interests include fault detection and isolation, and nonlinear observer theory, as well as applications to chemical processes.