Adaptive Observer for Fault Diagnosis in Nonlinear Discrete-Time Systems
- 29 February 2008
- journal article
- Published by ASME International in Journal of Dynamic Systems, Measurement, and Control
- Vol. 130 (2) , 021005
Abstract
This paper deals with the problem of fault diagnosis (FD) for a class of nonlinear systems. The scheme is based on a discrete-time diagnostic observer that computes a prediction of the system’s state. Compensation of the fault effect on the state prediction is achieved via an adaptive discrete-time approach, based on a parametric model of the faults. A stability proof is developed to prove the global exponential stability of the state estimates. A solution for fault isolation and identification is also proposed, based on a postfault analysis. The proposed FD approach is applied and experimentally tested on a conventional industrial robot manipulator.Keywords
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