Centralized Fault Detection of Complex Uncertain Hybrid Systems. Issue 7 (2018)

• Record Type: Journal Article
• Authors: Heracleous, Constantinos; Keliris, Christodoulos; Panayiotou, Christos G.; Polycarpou, Marios M.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 7(2018)
• Page Start: 76
• Page End: 81
• Publication Date: 2018
• Subjects: Hybrid systems -- fault detection -- open hybrid automata -- filtering -- modeling uncertainty; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.06.282
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper presents a centralized fault detection scheme for hybrid systems with nonlinear uncertain continuous dynamics and measurement noise. The scheme features a modular observer based on a modified hybrid automaton framework, that models each subsystem individually and the whole system as a composition of these models. The fault detection scheme employs a filtering approach, that attenuates the effect of measurement noise and allows tighter detection thresholds, and also an algorithm that handles autonomous mode transitions. As a result, the proposed approach can detect both discrete and parametric faults and guarantees no false alarms under all circumstances. Simulation results from a two-tank hybrid system example illustrate the effectiveness of the proposed scheme.