Browsing by Author "Zennir, Youcef"

Now showing 1 - 7 of 7
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    5 th International Conference on Advanced Engineering in Intelligent Processes ICAEIP 2026
    (Institut des sciences et techniques Appliquées.univ-skikda. University, Gabes, Tunisia, 2026-12-21) Zennir, Youcef; Dahman, Hassen
    Catalyst Processing, Polymer Processing Science and Technology, Petroleum, Ore Exploration and Exploitation, Economy and Marketing in Petrochemical Industries, Environmental Engineering, Heat and Mass Transfer in Ecosystems, Refining and Separation Processes, Smart and Clean Energy, Equipment and Pipelines in Petrochemical Industries, System Analysis and Diagnostics, Complex and Nonlinear Systems, Optimal Design and Process Control, Artificial Intelligence in Industrial Fields, Industrial Robotics, Modeling and Simulation of Petrochemical Systems, Embedded Systems, Discrete Event Systems, Planning and Maintenance, Data Fusion and Big Data, Smart Grid and Renewable Energy, Risk Analysis, Safety Engineering, Risk Management Processes, Reliability Engineering, Intelligent System Safety
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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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    Hybrid Meta-Heuristic Optimization Algorithms with Integral Sliding Mode Control: Applied to Control Permanent Magnet Synchronous Generator-Based Wind Energy System
    (Mathematical Modelling of Engineering Problems Vol. 13, No. 4, April, 2026, pp. 663-683, 2026-05-15) Arabi, Marwa; Zennir, Youcef; Bounezour, Hicham; Benghanem, Mohamed
    This study presents a comparative analysis of the performance of standard metaheuristic algorithms and their hybrid variants for tuning the parameters of an Integral Sliding Mode Controller (ISMC) applied to a Permanent Magnet Synchronous Generator (PMSG) in wind energy conversion systems. Specifically, the Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) are investigated, along with two hybrid strategies: PSO combined with the MATLAB-based nonlinear constrained solver fmincon, and a PSO–GWO hybrid approach. These optimization techniques are employed to improve the dynamic performance and robustness of the ISMC under varying wind conditions. The optimized controllers are benchmarked against the conventional Integral Sliding Mode–Field-Oriented Control (ISM–FOC) scheme. All simulations are conducted in the MATLAB/Simulink environment. Results show that the conventionally tuned ISMC exhibits a slower response and higher current-tracking errors, with the quadrature current error reaching approximately 0.2 and the direct current oscillating around 5 × 10⁻⁶ A, with a response time of 4.5 × 10⁻³ s. The results clearly demonstrate that the proposed optimization approaches significantly enhance control accuracy, reduce tracking errors, and mitigate chattering effects.
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    Implementation of risk-based inspection approach on catalytic reformer heatertubes
    (International Journal of Automation and Safety (IJAS) Vol 04, No 01, July, 2026, pp. 17-25, 2026-07-23) Dib, Khawla; Zennir, Youcef; Bounezour, Hichem; Berri, Islem
    This paper presents a case study on reformer heater tubes in a refinery using a Risk-Based Inspection (RBI) methodology to optimize inspection planning according to theprobability and consequences of failure. The study aims to evaluate the integrity andreliability of the heater tubes by identifying the most critical degradation mechanismsaffecting their performance under severe operating conditions. The assessmentfocused on radiant tubes exposed to high temperatures, internal pressure, cyclicthermal loading, and corrosive environments. Several damage mechanisms wereanalyzed, including wall thinning caused by oxidation and corrosion, thermal fatigueresulting from repeated heating and cooling cycles, and creep deformation due tolong-term exposure to elevated temperatures. These degradation processessignificantly affect the structural integrity and remaining life of the tubes. The RBIanalysis showed that radiant tubes are subjected to high-risk damage parameters,making them highly susceptible to failure. Among the identified mechanisms, creepand thermal fatigue found to be the most critical factors influencing tube deteriorationand operational risk. The calculated risk levels indicated that extending the inspectioninterval to 36 months would not ensure adequate safety and reliability. Based on theobtained results, an optimized inspection interval of approximately 1.41 yearsrecommended allowing early detection of degradation and reducing the risk ofunexpected failures. The proposed RBI-based strategy improves maintenanceefficiency by prioritizing inspections on critical components while minimizingunnecessary inspection activities. Overall, the study demonstrates that theimplementation of RBI methodology enhances refinery safety, equipment reliability,and asset integrity management. In addition, it contributes to reducing unplannedshutdowns, maintenance costs, and operational risks, ensuring safer and moreefficient refinery operation.
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    Multi-Objective TEO and GOA Optimization of PID Controllers Applied to an Altitude and Yaw Mission of Quadrotor UAV Swarm
    (ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS).Vol. 11, Issue 1.p 51/p 58, 2026-03-01) Hermouche, Bilel; Zennir, Youcef
    This paper produces a distributed control system to be used for collaborative UAV quadrotor simultaneous hovering and yawing missions in a leader-follower architecture, PID control is used in the altitude controller and the yaw controller for each single quadrotor with well-tuned parameters provided by two multi-objective optimization algorithms MOTEO and MOGOA, in the simulation and discussion section we show that due to the well system performances the produced parameters by MOTEO-PID combination are chosen to be the gains of the altitude and yaw controllers of the distributed control system for the hovering and yawing mission using a leader-follower architecture.
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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.
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    STPA-FTA hybrid hazard analysis framework applied to a high integrity pressure protection system
    (Life Cycle Reliability and Safety Engineering.Springer Nature., 2026-03-26) Rehail, Yasser; Tchouar, Noureddine; Zennir, Youcef; Carniel, Andrei
    The increasing complexity of petrochemical systems demands innovative hazard analysis methods capable of capturing both component and systemic failures. In this paper, we propose a new hazard analysis framework that integrates SystemTheoretic Process Analysis (STPA) with traditional Fault Tree Analysis (FTA). Initially, STPA is applied to identify Unsafe Control Actions (UCAs) and associated loss scenarios. Subsequently, FTA is employed to model dysfunctional component behaviors and quantify critical risk metrics, including the Probability of Failure on Demand (PFDavg), Minimal Cut Sets (MCSs), and Safety Integrity Level (SIL) using GRIF software. Finally, STPA outputs are incorporated into the traditional FTA by treating UCAs as basic developed events. The framework is applied to a High Integrity Pressure Protection System (HIPPS 2351) safeguarding the C-63 distillation column at the Skikda RA1K refinery. The results revealed additional MCSs that were not discovered by the traditional FTA, which increased the number of MCSs from 8 to 39. Furthermore, the Birnbaum Importance Factor is applied to rank and prioritize UCAs, identifying the most critical UCAs (UCA 1 through UCA-15) that have a significant impact on the HIPPS 2351 reliability. Overall, the proposed framework provides a comprehensive hazard analysis covering both qualitative and quantitative aspects.