Failure identification and isolation of DC-DC boost converter using a sliding mode controller and adaptive threshold

• Autorzy: Khater Fatma , Aibeche Abderrezak , Fellag Sid Ali , Doghmane Mohamed Zinelabidine , Akroum Hamza

Identyfikatory

DOI

10.29354/diag/190318

• Języki publikacji: EN

Abstrakty

EN

DC-DC converters have become essential components in various industrial applications, including aerospace, electric vehicles, and renewable energy systems. However, ensuring enhanced reliability remains a critical challenge for these converters. Fault diagnosis and reliability analysis are crucial for preventing damage and minimizing maintenance costs. This study focuses on investigating the operational behavior of DC-DC boost converters under normal and faulty conditions, precisely targeting open-circuit and short-circuit faults in converter switches. To achieve this, an adaptive threshold approach is introduced for effective fault detection. The adaptive threshold value is calculated based on measured voltage and current signals, along with their corresponding reference signals from the primary control system. The research is structured into two parts: the first part addresses sliding mode control aspects, ensuring regulated output voltages, output currents, and capacitor voltage for sustained converter operation. The second part investigates fault diagnosis, analyzing the impact of defective DC-DC converters on the overall electrical system functionality. The proposed algorithm's performance is evaluated and validated through simulations in MATLAB/Simulink environment. Furthermore, based on the results’ comparison, the proposed approach of the sliding mode controller and adaptive threshold contributes to enhancing the reliability of DC-DC converters and enables effective fault detection and isolation.

Słowa kluczowe

EN

DC-DC boost converter; faults detection; faults isolation; adaptive threshold; open-circuit fault; short-circuit fault; sliding mode controller; reliability analysis

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 3
• Strony: art. no. 2024303
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Khater Fatma

• Laboratoire d’Automatique Appliquée (LAA), département d’automatisation et électrification des procédés, Faculté des hydrocarbures et de la chimie (FHC), Université M’hamed Bougara - Boumerdès, 35000, Algérie

• https://orcid.org/0000-0003-1634-4599

autor

Aibeche Abderrezak

• Laboratoire d’Automatique Appliquée (LAA), département d’automatisation et électrification des procédés, Faculté des hydrocarbures et de la chimie (FHC), Université M’hamed Bougara - Boumerdès, 35000, Algérie

• https://orcid.org/0000-0002-6992-002X

autor

Fellag Sid Ali

• Laboratoire d’Automatique Appliquée (LAA), département d’automatisation et électrification des procédés, Faculté des hydrocarbures et de la chimie (FHC), Université M’hamed Bougara - Boumerdès, 35000, Algérie

• https://orcid.org/0009-0009-6293-6721

autor

Doghmane Mohamed Zinelabidine

• Département Evaluation des Réservoirs, Direction des Opérations Exploration, Division Exploration, Sonatrach, Hassi Messaoud 30500, Ouergla, Algérie

• https://orcid.org/0000-0002-9160-4963

autor

Akroum Hamza

• Laboratoire d’Automatique Appliquée (LAA), département d’automatisation et électrification des procédés, Faculté des hydrocarbures et de la chimie (FHC), Université M’hamed Bougara - Boumerdès, 35000, Algérie

• https://orcid.org/0000-0003-0323-3048

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