Actuator-Fault Detection and Isolation based on Interval Observers and Invariant Sets

Citation:

F. Xu, Puig, V., Ocampo-Martinez, C., Stoican, F., and Olaru, S., “Actuator-Fault Detection and Isolation based on Interval Observers and Invariant Sets”, in 52nd IEEE Conference on Decision and Control, Florence, Italy, 2013, p. 4385-4390.

ISBN Number:

978-1-4673-5714-2

Accession Number:

14157600

Abstract:

In this paper, an actuator-fault detection and isolation (FDI) approach using interval observers is proposed. An interval observer designed according to the healthy model of the supervised system is used to monitor the system. When the system is under different modes, state or output interval vectors predicted by the interval observer manifest different dynamical behaviors, which is the basis for FDI. To guarantee FDI, a group of set-based sufficient conditions based on invariant sets are established. Under these conditions, actuator faults can be accurately detected and isolated during the transition between different system modes. Finally, a numerical example is used to present the effectiveness of the proposed approach.

DOI:

10.1109/CDC.2013.6760564