FAULT TOLERANT CONTROL AND FAULT DIAGNOSIS METHODS INTEGRATED USING INTELLIGENT CONTROLLER FOR HYBRID DYNAMIC SYSTEMS

被引：0

作者：

Achbi, Mohammed Said ^{[1
,2
]}

Rouabah, Boubakeur ^{[1
]}

Mahboub, Mohamed Abdelbasset ^{[1
]}

Benarabi, Bilal ^{[1
]}

Kafi, Mohamed Redouane ^{[1
]}

Kechida, Sihem ^{[2
]}

机构：

[1] Université Kasdi Merbah, Ouargla

[2] Laboratoire d’Automatique et Informatique de Guelma (LAIG lab.), Université 8 Mai, 1945 Guelma, BP 401, Guelma

来源：

Diagnostyka | 2024年 / 25卷 / 03期

关键词：

fault diagnosis; fault tolerant control; hybrid dynamic systems; modeling; neural fuzzy systems;

D O I：

10.29354/diag/192181

中图分类号：

学科分类号：

摘要：

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. © 2024 by the Authors. Licensee Polish Society of Technical Diagnostics (Warsaw. Poland).

引用

共 33 条

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