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Fault tolerant control and fault diagnosis methods integrated using intelligent controller for hybrid dynamic systems

Achbi Mohammed Said, Rouabah Boubakeur, Mahboub Mohamed Abdelbasset, Benarabi Bilal, Kafi Mohamed Redouane, Kechida Sihem

Diagnostyka

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2024

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Vol. 25, No. 3

art. no. 2024312

EN

This research aims to provide a fault diagnosis approach for Hybrid Dynamic (SDHs), Systems and FaultTolerant 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.

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Self-adaptive fault-tolerant control strategy of shunt active power filter based on multicellular converter

Bouhafs Ali, Rouabah Boubakeur, Kafi Mohamed Redouane, Louazene Lakhdar

Diagnostyka

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2023

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Vol. 24, No. 4

art. no. 2023411

EN

The use of multicellular topology in power quality enhancement can reduce the power loss and also dv/dt of power switches, minimize the electromagnetic interference. However, the failure of flying capacitors can reduce the active filtering efficiency and affect the power quality by injecting currents with wave-form distortion (harmonics, notching, noises etc.) in power distribution grid. Therefore, this study presents a faulttolerant control strategy (FTC) allowing to keep the normal operation conditions of a multicellular converter even under failure mode. The obtained results show that the proposed FTC strategy enhances the power quality of power distribution grid when a fault in flying capacitors occurs.

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Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system

Mahboub Mohamed Abdelbasset, Rouabah Boubakeur, Kafi Mohamed Redouane, Toubakh Houari

Diagnostyka

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2022

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Vol. 23, No. 2

art. no. 2022212

EN

The increased cost of fuel and maintenance in aircraft system lead to the concept of more electric aircraft, moreover this concept increase the use of power electronic converters in aircraft power system. Since in this application, the reliability is a crucial feature. Therefore, the use of more efficient, reliable and robust power converter with health management capability will be a big challenge. Multicellular topology of power converters has the required performance in terms of efficiency and robustness. However, the increased complexity of control and more power components (power switches and capacitors) goes along with an increase in possibility of failure in multicellular topology. Therefore, the main contribution of this paper is the use of multicellular topology advantageous with fault diagnosis and fault tolerant control in order to increase the robustness reliability. The health management using a fault detection with Fuzzy Pattern Matching (FPM) algorithm when a failure in power switches or flying capacitors of multicellular converter and a Fault Tolerant Control (FTC) with sliding mode of second parallel three cells multicellular converters. Simulation results with Matlab show the increased efficiency and the continuity of work during failure mode in aircraft power system.