Publications Scientifiques

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Author: search.filters.author.Zammoum Boushaki, RazikaHas files: Yes

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    Modeling and simulation of three control techniques for UAV quadrotor
    (IEEE, 2019) Loubar, Hocine; Zammoum Boushaki, Razika; Aribi, Yacine; Azouaou, Ait Said; Dorbane, Sedik; Kouzou, Abdellah
    This paper presents the modeling of a four rotor type unmanned aerial vehicle (UAV) called the quadrotor and three techniques to control its altitude, attitude, heading and position. The dynamic model of the quadrotor is nonlinear and has been derived using Newton's and Euler's laws. The first approach is designed using a linear Proportional-Integral-Derivative (PID) control technique. The second approach is based on a nonlinear Back-stepping controller while the third one is a gain Gain-Scheduling based PID controller. The Genetic Algorithm technique has been used to get an optimal tuning for the gains and parameters of the three mentioned controllers. MATLAB/Simulink software was used to evaluate and compare the three designed control approaches in terms of the stability, the effect of possible disturbances and the dynamic performance
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    Altitude Back-stepping control of quadcopter
    (IEEE, 2019) Loubar, Hocine; Zammoum Boushaki, Razika; Aribi, Yacine; Kouzou, Abdellah
    This work deals with the study of the stabilization process of a nonlinear control system taking a certain model and derive state space equations through implementation of kinetic and dynamic equations where we present a challenging tool known as backstepping controllers based on Energy functions concept as presented by the famous Russian mathematician Lyaponuv. Simulation of the obtained results is done with Simulink
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    Active surge control of the recycle compression system by hybrid adaptive controller
    (IEEE, 2019) Aribi, Yacine; Zammoum Boushaki, Razika; Loubar, Hocine
    Centrifugal compressors are a Type of widely used compression systems for industrial gases. Practically, centrifugal and axial compressors often suffer huge and irreversible damages due to a major non-stability feature widely known as surge. In this paper, a control strategy is proposed in order to avoid falling into surge and to recover the system from deep surge state. An auto-tuned, PID-Based, model free approach based on Multi-stage Fuzzy Inference system is used to provide a real-time tuning for PID parameters in order to achieve optimal control for the Compression system’s recycle valve. The proposed control solution comes to prevent the system from falling into surge and shows promising results while recovering the system back into stability and maintaining stable operating point. Furthermore, a stable and robust, model free control, has been achieved for deep surge control
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    Optimization of the compression systems using genetic algorithm
    (IEEE, 2016) Zammoum Boushaki, Razika; Kessal, Farida; Bentarzi, Hamid
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    Artificial neural network control of the recycle compression system
    (2014) Zammoum Boushaki, Razika; Chetate, Boukhmis; Zamoum, Y.
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    Adaptive fuzzy inference control of the recycle compression system
    (Praise Worthy Prize, 2014) Zammoum Boushaki, Razika; Zamoum, Y.; Chetate, Boukhmis