Health management using fault detection and fault tolerant control of multicellular converter applied in more electric aircraft system
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Kasdi Merbah Ouargla University
Boubakeur Rouabah   

Kasdi Merbah Ouargla University
Submission date: 2022-04-03
Final revision date: 2022-06-05
Acceptance date: 2022-06-15
Online publication date: 2022-06-21
Publication date: 2022-06-21
Diagnostyka 2022;23(2):2022212
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.
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