Akademik Veri Yönetim Sistemi
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Susah, Tunus, 19 Aralık 2022, ss.165-170
This paper investigates the problem of diagnosing
discrete faults for a class of hybrid dynamical systems, where
the evolution of the discrete state is led by a set of discrete
modes governed by a partially observed Petri net which means
that we can know the activation of some discrete modes and
the firing of some switching conditions. The considered class
may have several modes evolving simultaneously. The modes
can be associated with normal or faulty operating conditions.
Therefore, the knowledge of the current mode represents the
coeur part of the proposed diagnosis approach. We present at
first an asymptotic observer to detect both the activation of
discrete modes and the switching conditions. Then, we propose
an algorithm to diagnose faults using the estimated discrete
states provided by the observer. Simulation results show the
effectiveness of the proposed approach.