Articles
<![CDATA[Modeling and control of two five-phase induction machines connected in series powered by matrix converter ]]>
<![CDATA[Mohamed Nekkaz]]>;
<![CDATA[Abdelkader Djahbar]]>;
<![CDATA[Rachid Taleb]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 2: June 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v12.i2.pp685-694
<![CDATA[The two five-phase Induction Motor (IM) drive system that is serially connected is available in literature. The power supply of such system is considered as a matrix converter (a direct AC to AC converter system) by three and five-phases outputs. The main benefit from the drive topology is the sinusoidal source as a side current with a controllable input side power factor. The decoupled control is achieved similarly to the inverter based drive system. In this paper; the decoupled control of two five-phase induction machines serially connected and powered by a five-phase matrix converter as well as analytical and simulation results are presented.]]>
<![CDATA[A robust state of charge estimation for multiple models of lead acid battery using adaptive extended Kalman filter ]]>
<![CDATA[Maamar Souaihia]]>;
<![CDATA[Bachir Belmadani]]>;
<![CDATA[Rachid Taleb]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v9i1.1486
<![CDATA[An accurate estimation technique of the state of charge (SOC) of batteries is an essential task of the battery management system. The adaptive Kalman filter (AEKF) has been used as an obsever to investigate the SOC estimation effectiveness. Therefore, The SOC is a reflexion of the chemistry of the cell which it is the key parameter for the battery management system. It is very complex to monitor the SOC and control the internal states of the cell. Three battery models are proposed and their state space models have been established, their parameters were identified by applying the least square method. However, the SOC estimation accuracy of the battery depends on the model and the efficiency of the algorithm. In this paper, AEKF technique is presented to estimate the SOC of Lead acid battery. The experimental data is used to identify the parameters of the three models and used to build different open circuit voltage–state of charge (OCV-SOC) functions relationship. The results shows that the SOC estimation based-model which has been built by hight order RC model can effectively limit the error, hence guaranty the accuracy and robustness.]]>
<![CDATA[State of charge estimation based on adaptive algorithm for Lead-Acid battery ]]>
<![CDATA[Maamar Souaihia]]>;
<![CDATA[Bachir Belmadani]]>;
<![CDATA[Rachid Taleb]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 7, No 2: June 2019 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v7i2.1002
<![CDATA[The usage of batteries in recent years has become widespread in many fields e.g. in electric vehicles, energy renewable and stand-alone systems which require a robust approach for estimation of the state of charge (SOC). The SOC represents an important factor to guaranty safe operations. A lot of methods have been used to predict the state of charge. The coulomb counting method is the famous and widely used among them, but have limitation due to its accuracy. Another used approach is the Kalman Filter, which improves the estimation efficiency, to reach a good performance in SOC prediction. The version of adaptive extended Kalman filter (AEKF) technique is applied in this paper. This paper presents an experimental performance of technique of Kalman filter, for solving the problem of accurate SOC. The method is used to compute the terminal voltage in such a way to estimate the SOC. The proposed algorithm is based on preselected Thevenin model after the identification of its parameters. It has been used to predict the SOC based on nonlinear equations, and evaluation of the approach is verified with the experimental results. The final results signify that the estimation matched with the proposed model and the algorithm is performed optimally, thus the maximum soc estimation error is the finest]]>
<![CDATA[Design and modeling of integrated octagonal shape inductor with substrate silicon in a buck converter ]]>
<![CDATA[Abdelhadi NAMOUNE]]>;
<![CDATA[Rachid TALEB]]>;
<![CDATA[Noureddine MANSOUR]]>;
<![CDATA[Abdelkader BELBOULA]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 7, No 3: September 2019 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v7i3.942
<![CDATA[The paper discusses the design and modeling of an integrate octagonal shaped inductor with silicon substrate. A validated equivalent electrical model of the integrated octagonal shaped spiral inductor is developed. The model is used to analyze and evaluate the quality factor and the inductance of the inductor structure proposed under different physical parameters setting. These include the number of turns, spacing between turns and the inner diameter. The simulation results show that an appropriate selection of physic a parameters can achieve an enhanced quality factor and improved inductance. PSIM simulator is used for the implementation of the integrated inductor in a micro buck converter. The simulation results demonstrate that our proposals are very promising approaches for the monolithic integration of DC-DC converters.]]>
<![CDATA[Design of experiments approach for modeling the electrical response of a photovoltaic module ]]>
<![CDATA[Fatma Zohra Kessaissia]]>;
<![CDATA[Abdallah Zegaoui]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Chahinez Fares]]>;
<![CDATA[Michel Aillerie]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v20.i3.pp1140-1147
<![CDATA[In the current paper, modeling and evaluation of the significant effect of independent variables on the behavior of the electrical response of a multi-crystalline photovoltaic (PV) module using design of experiments (DoE) approach is simulated. The main purpose of this contribution is to evaluate the maximum power response dependence within the indoor conditions of both variations of solar irradiation and surface temperature and checking the pertinent one on the defined response. the DoE approach is used for estimating both main and combined effect of the two independents considered variables. Multiple linear regression was been introduced to justify the relationship between the independent input variables and dependent output variable, also to determine which input factor is the most significant on the output variable. The DoE model can be used for predicting the response variable at different operating condition in a considered domain study. In addition, DoE approach based on statistical tool for analyzing the accuracy of the predictive model, then the significance of coefficients in the predictive model using statistical and graphical analysis. Therefore, an ANOVA Table can summarize the results, detect the parameters influences on responses variations and determine the best predictive model then reproduce the most possible the experimental data.]]>
<![CDATA[Geometric control of quadrotor UAVs using integral backstepping ]]>
<![CDATA[Ali Bouchaib]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Ahmed Massoum]]>;
<![CDATA[Saad Mekhilef]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v22.i1.pp53-61
<![CDATA[The traditional quadcopter control systems should deal with two common problems. Namely, the singularities related to the inverse kinematics and the ambiguity linked to the quaternion representation of the dynamic model. Moreover, the stability problem due to the system nonlinearity and high degree of coupling. This paper provides a solution to the two issues by employing a geometrical integral-backstepping control system. The integral terms were added to improve system ability to track desired trajectories. The high-level control laws are considered as a virtual control and transmitted to the low-level to track the high-level commands. The proposed control system along with the quadcopter dynamic model were expressed in the special Euclidean group SE(3). Finally, the control system robustness against mismatching parameters was studied while tracking various paths.]]>
<![CDATA[Implementation of space vector modulation for two level three-phase inverter using dSPACE DS1104 ]]>
<![CDATA[Ismail Bouyakoub]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Hacene Mellah]]>;
<![CDATA[Abdelaziz Zerglaine]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v20.i2.pp744-751
<![CDATA[With increasing research and advancement in solid-state power electronic devices and microprocessors, various inverter control techniques employing pulse width modulation (PWM) are becoming popular especially in AC motor drive applications. The most commonly used techniques are sinusoidal PWM (SPWM) and space vector modulation PWM (SVPWM). SVPWM is considered to be superior to the SPWM because of better DC bus utilization. In this paper, a real-time digital implementation of SVPWM algorithm for three-phase two level inverter using dSPACE DS1104. The results obtained from the experimentation are closer to that of simulation, which confirms the validity of the implemented algorithm.]]>
<![CDATA[Advanced control of a permanent magnet synchronous generator for a wind turbine ]]>
<![CDATA[Abdelkader Belkacem]]>;
<![CDATA[Zinelaabidine Boudjema]]>;
<![CDATA[Ghalem Bachir]]>;
<![CDATA[Rachid Taleb]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v26.i1.pp194-201
<![CDATA[This article presents an improved vector control scheme based on super twisting continuous sliding mode for a permanent magnet synchronous generator integrated in a dual roror wind turbine system. To augment the energy effectiveness of wind systems, several research has recently been realized by different researchers and in various technologies fields. The field of machine control occupied a large part of this research as the objective was always to find the most optimal control solution. Two main objectives are targeted in this work. The first goal is to develop the vector control performance of the permanent magnet synchronous generator by using second order continuous sliding mode controller, which is known for their robustness and ability to reduce chattering phenomenon. The second objective of this work is to use a dual rotor wind turbine in order to increase the energy efficiency of the wind power system used. The obtained simulation results showed the efficacy of the techniques used.]]>
<![CDATA[Robust control of a UPFC system with H~ control technique ]]>
<![CDATA[Maamar Benyamina]]>;
<![CDATA[Mohamed Bouhamida]]>;
<![CDATA[Tayeb Allaoui]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Mouloud Denai]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v18.i1.pp533-543
<![CDATA[FACTS (Flexible AC Transmission Systems) technology has now been accepted as a potential solution to the stability problem and load flow. The Unified Power Flow Controller (UPFC) is considered to be the most powerful and versatile among all FACTS devices. This paper presents the control of a UPFC system using Hinf robust control technique. A simulation study using Matlab/Simulink is presented to the performance of this control strategy and the robustness with respect to variations of the system parameters such as the inductance of the transmission line.]]>
<![CDATA[Optimal tuning of PI controller using genetic algorithm for wind turbine application ]]>
<![CDATA[Yamina Belgaid]]>;
<![CDATA[M’hamed Helaimi]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Mohammed Benali Youcef]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v18.i1.pp167-178
<![CDATA[Nowadays, wind turbine energy has an increased importance in electrical power applications since when it is considered as an essential inexhaustible and broadly available energy resource. An aerogenerator is a device that transforms a part of the kinetic energy of the wind into available mechanical energy on a transmission shaft, and then into electrical energy through a generator, which is in our case a dual power asynchronous machine. An important characteristic of a wind turbine is that the avail, able maximum power is provided only in a single given operating point, called Maximum Power Point. Many classical methods and controllers have been widely developed and implemented to track the maximum power point. Among drawbacks of a classical PI controller is that its parameters are not constant, these conventional control laws may be are insufficient because they are not robust, especially when the accuracy requirements and other dynamic characteristics of the system are strict. The new idea in this paper is to introduce the Genetic Algorithms theory into the controlstrategy that used inthe conversion chain of the wind turbine, in order to improve stability. Simulation results approve that the application of Genetic Algorithms to the PI regulator, minimize or eliminate the drawbacks of the classical PI regulator, and greatly promote the efficiency and stability of the wind turbine systems.]]>
