This paper considers the fault detection and isolation problem for nonlinear uncertain non-affine systems. The proposed approach is based on an output-feedback stabilisation strategy, which exploits a Luenberger-like nonlinear observer. As a main result, a residual-based fault detection and isolation approach is developed, which relies on the measurable output, some of its derivatives, which are provided exactly by a uniform high-order sliding-mode differentiator, and the observer’s state. The proposed methodology is able to detect some possible components and actuators faults, and to isolate, under some mild conditions, the actuator faults from those ones in components. Simulation results illustrate the feasibility of the proposed approach.
|Number of pages||13|
|Journal||International Journal of Control|
|State||Published - 1 Feb 2017|
Bibliographical noteFunding Information:
The financial support was from CONACYT 132125; CONACYT(Mexico)-CNR(Italy) [grant number 174526]; and PAPIIT [grant number 113613].
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
- Fault detection and isolation
- non-affine systems
- nonlinear systems