Inversion-Based Approach for Detection and Isolation of Faults in Switched Linear Systems

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Silveira, AM (Author) Other; Rui Esteves Araújo (Author) FEUP

Journal

Title: Electronics (Switzerland)

Vol. 9

Final page: 561

ISSN: 2079-9292

Publisher: MDPI

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00R-Y1D

DOI: 10.3390/electronics9040561

Abstract (EN): This paper addresses the problem of the left inversion of switched linear systems from a diagnostics perspective. The problem of left inversion is to reconstruct the input of a system with the knowledge of its output, whose differentiation is usually required. In the case of thiswork, the objective is to reconstruct the system's unknown inputs, based on the knowledge of its outputs, switching sequence and known inputs. With the inverse model of the switched linear system, a real-time Fault Detection and Isolation (FDI) algorithm with an integrated Fuzzy Logic System (FLS) that is capable of detecting and isolating abrupt faults occurring in the system is developed. In order to attenuate the effects of unknown disturbances and noise at the output of the inverse model, a smoothing strategy is also used. The results are illustrated with an example. The performance of the method is validated experimentally in a DC-DC boost converter, using a low-cost microcontroller, without any additional components.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 23