Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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Author: search.filters.author.Idir, AbdelhakimSubject: search.filters.subject.Comparative study

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    A comparative study between fractionalized and fractional order PID controllers for control of a stable system based on particle swarm optimization algorithm
    (Wydawnictwo SIGMA-NOT, 2023) Idir, Abdelhakim; Berrabah, Fouad; Laurent, Canale
    Most industrial applications use integer-order proportional integral derivative (IOPID) controllers due to well-known characteristics such as simplicity and ease of implementation. However, because of their nonlinear nature and the underlying iso-damping feature of fractional-order operators, fractional-order PID (FOPID) and fractionalized-order PID (FrOPID) controllers outperform the IOPID controllers. In this study, three different controllers based on particle swarm optimization are used to regulate a stable system. While a FrOPID controller only has to optimize four parameters and a normal PID controller only needs to optimize three parameters, a FOPID controller requires the optimization of five parameters. Set-point tracking, and better disturbance rejection are obtained with the fractional PID controller, whereas fractionalized PID outperforms the other controllers in terms of noise attenuation
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    New improved hybrid MPPT based on neural network-model predictive control-kalman filter for photovoltaic system
    (2020) Kacimi, Nora; Grouni, Said; Idir, Abdelhakim; Boucherit, Mohamed Seghir
    In this paper, new hybrid maximum power point tracking strategy for photovoltaic systems has been proposed. The proposed technique for control based on a novel combination of an artificial neural network with an improved model predictive control using Kalman Filter. In this paper the Kalman Filter is used to estimate the converter state vector for minimized the cost function then predict the future value to track the maximum power point with fast changing weather parameters. The proposed control technique can track the in fast changing irradiance conditions and a small overshoot. Finally, the system is simulated in the MATLAB/Simulink environment. Several tests under stable and variable environmental conditions are made for the four algorithms, and results show a better performance of the proposed compared to conventional perturb and observation neural network based proprtional integral control and neural network based model predictive control in terms of response time, efficiency and steady-state oscillations
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    Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station
    (Indonesian Journal of Electrical Engineering and Computer Science, 2020) Tadjer, Sid Ahmed; Idir, Abdelhakim; Chekired, Fathia
    The aim of this paper is to present an evaluation of the performancerateof four different photovoltaic techniques in the Saharan environment. The purpose of this study is to investigate, analyse, discuss and illustrate the most effective of the different photovoltaic cell technologies (monocrystalline(𝑚−𝑠𝑖), amorphous silicon (𝑎−𝑠𝑖), poly-crystalline silicon (𝑝𝑐−𝑠𝑖)and cadmium telluridethin film(𝐶𝑑𝑇𝑒−𝑇𝐹)) installed in Ghardaia which is located in southern ofAlgeria’s Sahara desert. In order to choose the most suitable technology in the Saharan climate conditions, the energy values produced by the plant were compared to those found by the PVSYST sizing software. The results show that thin-film and amorphous silicon panels produce low illumination, so they are the best choice for the Saharan environment.