Fault tolerant control and fault diagnosis methods integrated using intelligent controller for hybrid dynamic systems
1
Université Kasdi Merbah, Ouargla, Algérie
2
Laboratoire d’Automatique et Informatique de Guelma (LAIG lab.), Université 8 Mai 1945 Guelma, BP 401, Guelma 24000, Algérie
Submission date: 2023-11-26
Final revision date: 2024-03-09
Acceptance date: 2024-08-09
Online publication date: 2024-08-22
Publication date: 2024-08-22
Corresponding author
Mohammed Said Achbi
Université Kasdi Merbah, Laboratoire d’Automatique et Informatique de Guelma (LAIG lab.), Ouargla, Algérie
Université Kasdi Merbah, Laboratoire d’Automatique et Informatique de Guelma (LAIG lab.), Ouargla, Algérie
Diagnostyka 2024;25(3):2024312
KEYWORDS
TOPICS
ABSTRACT
This research aims to provide a fault diagnosis approach for Hybrid Dynamic (SDHs), Systems and Fault-Tolerant Control synthesis, while also ensuring the smooth operation of industrial settings. This study is a part of the larger topic of Hybrid Dynamic System control and fault diagnosis. The primary focus is on modelling strategies designed expressly for Hybrid Dynamic Systems, with a concentration on combining continuous and event-driven components. Much work is devoted to developing a model that can incorporate both kinds of elements. A system model that can track several modes without explicit identification can be created by utilizing Neuro-Fuzzy Networks, providing a thorough overview. On the basis of this synthesized model, an AI-based fault diagnosis method is subsequently developed
FUNDING
This research received no external funding
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