Browsing by Author "Benghanem, Mohamed"

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    Application of Systems-Theoretic Process Analysis and D-HiGraph Modeling for Risk Analysis in a Continuous Casting Machine
    (International Journal of Safety and Security Engineering Vol. 16, No. 1, January, 2026, pp. 43-53, 2026-01-31) Larit, Khalid; Berri, Islam; Zennir, Youcef; Rodriguez, Manuel; Benghanem, Mohamed; Liu, Yiliu
    Continuous casting machines (CCMs) play a crucial role in steel production, but their complexity and high level of automation pose significant challenges to ensuring operational safety. This study explores a combined approach using Systems-Theoretic Process Analysis (STPA) and D-HiGraph modeling to identify and better understand potential hazards in a CCM unit. STPA is used to define possible losses, hazards, and unsafe control actions (UCAs) within the system. To support the analysis, a control structure model is developed using D-HiGraph, which provides a clear, hierarchical view of how controllers, sensors, actuators, and human operators interact. The results highlight several critical UCAs, particularly in areas such as mold level regulation, adjustment of withdrawal speed, and emergency shutdown procedures. By visualizing these relationships with D-HiGraph, it becomes easier to trace the origin of unsafe scenarios and gain deeper insight into system behavior. Overall, this integrated method offers a structured and effective way to improve safety analysis in CCMs and contributes to more robust design and operational strategies in steelmaking environments.
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    Sliding Mode Controller and Fuzzy PID for Doubly Fed Induction Generator
    (Journal Européen des Systèmes Automatisés Vol. 59, No. 1, January, 2026, pp. 21-28, 2026-01-31) Chetioui, Lotfi; Achouri, Mourad; Zennir, Youcef; Benghanem, Mohamed
    In modern control engineering, the demand for robust and adaptive control strategies is critical for managing complex, nonlinear, and uncertain systems. This paper investigates sliding mode control (SMC) and fuzzy PID control applied to a doubly fed induction generator (DFIG), two advanced techniques widely used in both industrial and academic contexts. SMC is known for its high robustness and finite-time convergence; however, it suffers from chattering and dependence on accurate system modeling. In contrast, the fuzzy PID controller combines the classical PID structure with fuzzy logic to provide adaptive and smooth control without requiring a precise mathematical model. Through theoretical analysis and a review of recent research findings, this study highlights the strengths and limitations of each method in terms of robustness, adaptability, implementation complexity, and application suitability. The results indicate that while SMC excels in robustness and precision, the fuzzy PID controller offers a more flexible and user-friendly alternative for systems with nonlinear or uncertain dynamics. Ultimately, the choice between the proposed methods depends on the specific requirements of the target application, with future research opportunities lying in hybrid strategies that combine the robustness of SMC with the adaptability of fuzzy PID control to enhance performance in renewable energy systems.