Publications Scientifiques

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Author: search.filters.author.Ahriche, Aimad

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    Discretization Order Influences on Extended Kalman Filter Estimation for Doubly-Fed Induction Generator
    (Wydawnictwo SIGMA-NOT, 2024) Boussoufa, Ahmad; Ahriche, Aimad; Kidouche, Madjid; Doghmane, Mohammed Zinelabidine
    The main objective of this paper is to analyze the influence of the discretization step on the estimated states of the Doubly-Fed Induction Generator (DFIG). Although the Extended Kalman Filter (EKF) has been widely used for such systems, the discretization process is conventionally ensured by the first-order Forward Euler method. Therefore, the effects of the discretization order of the discrete state-space representation on the Extended Kalman Filter estimation have not been studied before. In this paper, we combine the Extended Kalman Filter with two second-order discretization methods: Central Difference and Adams-Bashforth methods, to estimate the states of a Doubly-Fed Induction Generator and improve the estimation precision of the rotor speed and the Flux of the generator. A comparative study has been conducted to analyze the qualitative and quantitative responses of the estimator for different cases. The obtained results have demonstrated the significance of the discretization order on the estimation process of the two states of the DFIG.
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    An enhanced battery model using a hybrid genetic algorithm and particle swarm optimization
    (Springer Nature, 2023) Mammeri, Elhachemi; Ahriche, Aimad; Necaibia, Ammar; Bouraiou, Ahmed; Mekhilef, Saad; Dabou, Rachid; Ziane, Abderrezzaq
    Batteries are widely used for energy storage in stand-alone PV systems. However, both PV modules and batteries exhibit nonlinear behavior. Therefore, battery modeling is an essential step toward appropriate battery control and overall PV system management. Empirical models remain reliable for lead-acid batteries, especially the Copetti model, which describes many inner and outer battery phenomena, including temperature dependency. However, the parameters of the Copetti model require further adjustment to increase its ability to accurately represent battery behavior. Recently, metaheuristic algorithms have been employed for parameter identification, especially hybrid algorithms that combine the advantages of two or more algorithms. This paper proposes an enhanced battery model based on the Copetti model. The parameter identification of the enhanced model has been carried out using a novel hybrid PSO-GA algorithm (HPGA). The hybrid algorithm combines GA and PSO in a cascade configuration, with GA as the master algorithm. The HPGA algorithm has been compared with other algorithms, namely GA, PSO, ABC, COA, and a hybrid GWO-COA, to reveal its advantages and disadvantages. The NRMSE is used to evaluate algorithms in terms of tracking speed and efficiency. HPGA shows an improvement in tracking efficiency compared to GA and PSO. The proposed model is validated on several charging-discharging data and exhibits a 15% lower mean error compared to the Copetti model with original parameters. Additionally, the proposed model demonstrates a lower mean error of 0.16% compared to other models in the literature with a 0.36% mean error at least.
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    Comparative study between photovoltaic and thermal solar cooling
    (IEEE, 2020) Atia, Mostufa; Bekka, Belgacem; Ahriche, Aimad
    In recent years, research on thermal comfort in the building sector has increasingly focused on renewable energy as an alternative energy. TRNSYS software is used for modeling two types of air conditioning systems. A photovoltaic wage air conditioning system that refers to all air conditioning techniques using electricity produced by photovoltaic panels. The second thermal energy absorption system produced by a vacuum tube solar sensor. In this work, were compared the performance of solar thermal air conditioning and solar photovoltaic air conditioning under the influence of a different conditions, temperature, surface area, auxiliary energy, yield, ring fraction and cost. The results shows that the total energy consumed in the mechanical compression system is very high and up to 170%, compared to the absorption system during the hot season.
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    Stability and accuracy improvement of motor current estimator in low-speed operating based on sliding mode takagi-sugeno algorithm
    (Publishing House of the Romanian Academy, 2022) Ahriche, Aimad; Abdelhakim, Idir; Doghmane, Mohamed Zinlabidine; Kidouche, Madjid; Mekhilef, Saad
    This paper is devoted to presenting a new mathematical development and hardware implementation of an accurate and stable technique for the current estimation-based sliding mode observer in high-performance speed-sensorless ac-drive. The proposed algorithm is built by using induction motor (IM) flux equations in two referential frames to enhance the robustness of the observer. Indeed, all equations are given in both stator-flux and rotor-flux rotating frames. On the other hand, to eliminate the necessity of rotor-speed adaptation, a fully speed-sensorless scheme is adopted. Furthermore, to minimize chattering and improve accuracy, a new fuzzy sliding surface is introduced instead of the conventional correction vector. The observer stability is guaranteed by means of Lyapunov’s second method. The feasibility and the effectiveness of the proposed algorithm are verified by using a hardware setup based on the DS1104 controller board. Experimental results are shown and discussed
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    Enhanced UAVs mobility models for surveillance and intruders detection missions
    (Springer, 2022) Boutalbi, Mohammed Chaker; Riahla, Mohamed Amine; Ahriche, Aimad
    The use of chaotic solutions in designing UAVs’ (Unmanned Aerial Vehicles) mobility models for surveillance systems is becoming the trend in the last years. The substitution of the random part by a chaotic solution of a dynamic system has proven to be more effective. Therefore, this paper presents CSC (Chaotic Squad Coordination), a novel implementation scheme of UAVs mobility models in surveillance and intruders detection missions. The CSC comes as a low-cost solution to make the UAVs swarm efficiently explore the area of interest and detect malicious intruders, all in a spontaneous manner using a chaotic solution without the need for energy-consuming approaches like the ACO algorithm or deterministic group flocking rules. The used strategy guards the swarm’s movement unpredictability and offers the possibility of implementing a scalable collision avoidance flight plan. In addition, we designed a hybrid chaotic mobility model that switches between two chaotic attractors (Rossler and Ma systems). We used an iterative evolutionary algorithm to optimize its parameters in order to improve the overall delivered quality of service. Extensive simulation experiments are provided in this work to compare seven UAVs chaotic mobility models. The results confirmed the superiority of the CSC strategy that produced better quality of service concerning the swarm’s connectivity, the area coverage, and intruders detection, where the designed mobility model provides an overall reasonable trade-off in parallel with its higher area coverage fairness compared with its peers (CSC-based mobility models)
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    A novel fault location approach for radial power distribution systems
    (Institute of Advanced Engineering and Science, 2022) Hamdouche, Tarek; Bendjeghaba, Omar; Brakta, Noureddine; Ahriche, Aimad
    Power distribution systems (PDS) are increasingly complex and spread over long distances and in different locations. Given their radial configuration, the loads could be inserted at the same distances from the substation. This leads to multiple estimation of fault location (FL) and yields time consuming for iterative FL algorithms. In this article, we provide a novel practical approach to fault localization in order to defeat these limitations. The central idea of the proposed approach is to divide the multilateral distribution system into a possible number of mono-lateral sub systems (MLS) using a proposed communicating sensor. Next, we apply two different fault locator algorithms only to the defective MLS. The first variant of the approach is based on the impedance method, while the second variant is non-parametric used only when there is lack in the line data. To test the proposed technique in practice, we used the IEEE 13 Node test feeder, and a real Algerian PDS. The results obtained clearly show the contribution of the dedicated method for locating faults in the PDS
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    State feedback control for stabilization of PMSM-based servo-drive with parametric uncertainty using interval analysis
    (Wiley, 2021) Khelouat, Lila; Ahriche, Aimad; Mekhilef, Saad
    For a class of multivariable uncertain dynamic systems, the parametric uncertainties are belonging to a closed interval with lower and upper boundaries a priori known. Thereby, these systems can be analyzed based on interval structures and interval matrices. In this article, a fully interval analysis–based method is developed and applied to the state feedback control of permanent magnet synchronous motor (PMSM) in order to design a stabilized servo-drive. Indeed, the parametric uncertainties are investigated in state space representation, which represents a simplified and effective way to analyze the robust stability for the interval system. Firstly, a robust state feedback control technique, dedicated to an uncertain system is introduced. For that, the robust controllability test is performed for the interval system by using the linear independency condition of column interval vectors. It is proven that there is a direct correlation between the controllability test and the existence of a robust modal P-regulator for the correction of the uncertain system. It is also shown that it invariably relies on each input's controllability indices and thus their effect on the uncertain system's state variables. In order to ensure stability in a closed loop, the modal P-regulator is designed with possibility of incorporation of an integral action. The modified modal PI regulator has the ability to reject disturbance and guarantee zero-steady-state error for step inputs. In fact, the stability is achieved by placing all coefficients of the system characteristic polynomial within assigned intervals based on Kharitonov's Theorem. The technique provides a matrix gain with interval coefficients for the stabilizing regulator. Finally, the developed approach is applied to position control of linearized model of the PMSM-based servo-drive, presenting parametrical uncertainties. To demonstrate the efficiency of the proposed method, a numerical and graphical comparison of conventional LQR and pole placement, state feedback controllers for the PMSM servo-drive with the robust interval controller is provided. In order to verify the feasibility of the whole proposed technique, calculations and simulations are performed by using Matlab/Intlab toolbox. Real-time simulation is also investigated using Lab-View Compact-RIO
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    A fuzzy logic approach based direct torque control and five-leg voltage source inverter for electric vehicle powertrains
    (Publishing House of the Romanian Academy, 2021) Derbane, Abdelhakim; Tabbache, Bekheira; Ahriche, Aimad
    In this paper, a fuzzy logic approach is combined with direct torque control (DTC) for dual-motor based electric vehicle powertrain. The proposed structure is based on five-leg voltage source inverter (FLVSI) and two induction motors. The shared-leg switching-signals are selected by using a fuzzy logic controller in order to ensure an independent control of the two driving wheels. Indeed, the selection of the control sequence duration is performed based on the power demand and the load torque of each motor, Simulation results are carried out to confirm that both of IM is able to operate at different speeds with any load condition
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    A summary of the existing challenges in the design of a routing protocol in UAVs network
    (IEEE, 2020) Boutalbi, Mohammed Chaker; Riahla, Mohamed Amine; Ahriche, Aimad
    The difficulties in the routing mechanism in UAV's networks are taking interest in these last years. The challenge is still up to come up with full solutions for the developed constraints that have been raised with the high dynamicity and link disconnections in this type of ad hoc network. Large and detailed surveys have been proposed in the literature, where they essentially focus on the taxonomy of a vast number of proposed solutions. Based on this, and from a different angle of view, in this paper, we summarize the existing challenges in the design of a routing protocol for UAVs network. Unlike the other works, our approach focuses on collecting and illustrating all routing constraints that a drone can face in the decision-making process, also, we argue on how an appropriate design of a FANET routing protocol should be to provide a generic and efficient evaluation platform for future works.
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    A Practical Integrated Fault Location Technique for Radial Power Distribution Systems
    (IEEE, 2019) Hamdouche, Tarek; BENDJEGHABA, Omar; Ahriche, Aimad
    power distribution systems (PDS) are becoming more complex and dispersed at long distances and different locations. With its radial and several laterals configuration, loads could be connected at similar distances from the substation which leads to a multi estimation of fault location and consuming more time for iterative fault location algorithms. In order to overcome those difficulties, a practical integrated fault location method for radial PDS is presented in this paper. The basic idea of the proposed approach is to partition a multi lateral distribution system to possible mono lateral system (MLSs) by a proposed communicant sensor (CS). Then an impedance based algorithm is applied only at the faulty MLS. To examine the whole method in the field, a real PDS from the Algerian distribution grid is used. Experimental results present significant benefits compared to a previous method reported in the literature