Publications Scientifiques

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Author: search.filters.author.Khelassi, Abdelmadjid

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    Intelligent path planning algorithms for UAVs: Classification, complexity analysis, hybrid ablation insights, and future directions
    (SAGE, 2025) Dradoum, Alaa; Khelassi, Abdelmadjid; Lachekhab, Fadhila
    As unmanned aerial vehicle (UAV) technology has evolved, these systems are being increasingly utilized across diverse industries. However, controlling UAVs faces significant problems owing to several environmental circumstances and obstacles, making path planning a critical initial step for UAV operation. This paper offers an overview of UAV path planning research founded on intelligent algorithms, which are divided into three categories: computational intelligence (CI), machine learning (ML), and hybrid methods. Each category has been analyzed in depth to show its strengths, limits, and where it may be applied to UAV-related problems. The methodology includes a comparative analysis based on multiple performance metrics such as path length, flight time, collision avoidance, complexity, and environmental adaptability. Furthermore, the research covers the latest publications that deal with solving essential challenges of UAV path planning by using new hybrid algorithms and enhanced optimization methods. The results indicate that although each strategy offers specific strengths suited to particular scenarios, hybrid strategies are more likely to deliver greater flexibility and robustness, particularly in uncertain, and dynamic environments. These findings are significant for guiding future research in adaptive path planning and for supporting practical UAV applications such as autonomous delivery, aerial surveillance, disaster response, and environmental monitoring.
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    Fractional PID controller based on biggest log modulus tuning method with MOPSO optimization for distillation column
    (IAES, 2022) Fartas, Nourelhouda; Khelassi, Abdelmadjid
    The main contribution of this work is to design a fractional order proportional integral derivative (FO-PID) controller by combining the biggest log modulus tuning (BLT) method and multi-objective particle swarm optimization (PSO) algorithm for the control of the challenging multivariable systems. The parameters of the integer proportional integral (PI) controller are designed preliminary using BLT method. The derivation parameter, the fractional integrator and the fractional derivation parameters is formulated as an optimization problem with many objective functions as minimizing the integral square error (ISE), integral time absolute error (ITAE) and objective function which contain the ISE, overshoot and settling time using PSO algorithm. An example of wood and berry distillation column is treated in this paper. A comparison between integer BLT, integer PSO, big bang-big crunch (BB-BC) algorithm, TLBO method and the proposed fractional BLT-PSO method is carried out. The simulation results using MATLAB/Simulink show the efficiency and merits of the proposed method for such systems.
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    The impact of fractional order control on multivariable systems
    (Université M'hamed Bougara de Boumerdès, 2022) Fartas, Nourelhouda; Khelassi, Abdelmadjid
    In this work a fractional order filter proportional integer (FOF-PI) controller is proposed for the control of multivariable system which is a distillation column model. In addition to the design of fractional controller, a comparison between integer controller employing the most used method the biggest log modulus (BLT) and the internal model control (IMC) with the fractional method. The purpose of this comparison is to improve the quality control and show the superiority and the increase of flexibility by the additional fractional parameter of the fractional control. An analyzed study between performance indices of the three methods as the overshoot, settling time, integral absolute error (IAE) and rise time is exhibited. The simulation graphs of the outputs provided by the three used controllers are presented to confirm the results and show the improvement in the control of multivariable system domain by the fractional method