Publications Internationales

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

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Author: search.filters.author.Belaidi, Hadjira

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Now showing 1 - 10 of 11
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    Implementation of Battery Characterization System
    (MDPI, 2023) Zermout, Abdelaziz; Belaidi, Hadjira; Maache, Ahmed
    The successful transfer toward green renewable energy depends heavily on good, reliable Energy Storage Systems (ESS). Lithium-ion batteries are the preferred choice for many applications; however, they need careful management, especially an accurate State-Of-Charge (SOC) estimation. Hence, in this paper an overview of some SOC estimation methods is briefly described; then, an automated battery cell test system prototype that will enable further improvement is designed and implemented. Some tests are conducted on an aged lithium-ion cell and the obtained results are satisfactory and accurate with an error of around 0.5 × 10−3 (V or A), thus validating the proposed prototype.
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    AC Loads Supply Continuity in Connected and Islanded Microgrids Systems
    (2023) Kaddour, Djillali; Belaidi, Hadjira; Belaidi, Dehia; Faouzi, Didi
    In the pursuit of establishing a sustainable and highly reliable microgrid, the continual operation and system dependability in both grid-connected and islanded configurations emerge as paramount objectives. Our vision centers on the implementation of an intelligent Energy Management System (EMS), complemented by cutting-edge optimization techniques and well-suitable resource sizing. These synergistic components empower the microgrid to adeptly manage peak demands, surmounting even the most adverse weather conditions, all the while liberating it from external resources or any additional draw from the grid facility. Conducting a compelling case study, we delve into the efficiency of our EMS algorithm, thoughtfully realized through MATLAB Simulink, by analyzing pertinent load profiles and power consumption data from buildings within our esteemed institution, IGEE (Institute of Electrical and Electronic Engineering). To transcend the confines of conventional grid-tied PV systems Inverter, we ingeniously propose a novel approach, coordinating a Diesel Generator-Photovoltaic panel (DG-PV) synchronization, thereby seamlessly enabling the grid-tied PV system to function in off-grid scenarios. This concept lies in achieving optimal performance through the deployment of uniform Distributed Energy Resources (DERs) sizes for Photovoltaic (PV) and Battery Energy Storage Systems (BESS) in both grid-connected and islanded modes. Supplemented by sophisticated control algorithms and real-time monitoring, the microgrid flawlessly transits between operational modes, ensuring unrivaled efficiency and unwavering dependability.
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    Enhanced quadrotor motion analysis through extended
    (SAGE, 2024) Saibi, Ali; Belaidi, Hadjira; Kobzili, Elhaouari; Demim, Fethi; Allam, Ahmed; Attouche, Nesrine; Belkacemi, Malak
    This paper aims to develop a stable quadrotor’s flight controller using the ESP32 microcontroller, enabling wireless guidance through a Graphical User Interface (GUI) on Raspberry Pi. In this context, an Extended Kalman Filter (EKF) with a nonlinear control model is employed to estimate the angular velocity and speed of the quadrotor. Simulationswere conducted using two nonlinear controllers (BackStepping Controller (BSC) and Sliding Mode Controller (SMC)) across various scenarios to prove the efficiency of the proposed method for trajectory tracking. The performance was analyzed using Root Mean Square Error (RMSE) and compared to previous works. It was noticed that in the both control scenarios, the estimated states followed the desired instructions, although a potential overshoot was noted in the case of SMC. Additionally, two control approaches were practically implemented. The first approach utilizes the classical Proportional Integral Derivative (PID) technique, while the second approach employs the modern Backstepping technique. The results demonstrate that both control approaches deliver satisfactory performance and responsiveness in stabilizing the quadrotor in real-world scenarios. However, it has been noticed that the Backstepping controller achieves higher performance, whereas, the PID controller’sperformance is constrained by tuning and model limitations.
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    Online estimation of state-of-charge using auxiliary load
    (Erol Kurt, 2024) Zermout, Abdelaziz; Belaidi, Hadjira; Maache, Ahmed
    Numerous approaches and methodologies have been established for online (while the load is supplied) estimation of the State-of-Charge of Lithium-ion cells and batteries. However, as battery load consumption fluctuates in real time because of delivered device operations, obtaining a precise online state of charge estimation remains a challenging task. This work proposes a new technique for online open circuit voltage measurement to estimate state of charge of batteries. This novel technique proposes the addition of an auxiliary regulated load that may be utilized to temporarily force specifically defined forms of the battery's current curve under particular conditions, which results in improving and simplifying online open circuit voltage computations. The effectiveness of the proposed technique was successfully validated through several experimental tests. The acquired findings demonstrated its efficiency with an acceptable online state of charge estimation accuracy. Typically, an estimation error of less than 2% was recorded in most tests, while the error was less than 1% when the battery's state of charge was high.
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    Multi-microgrids system’s resilience enhancement
    (Institute of Advanced Engineering and Science (IAES), 2024) Chalah, Samira; Belaidi, Hadjira
    Nowadays, electricity consumption is increasing rapidly which leads to conventional power systems exhaustion. Therefore, micro-grids (MGs) implantation can enhance the resilience of power systems by implication of new resources, such as renewable energy sources (solar panel and wind power systems), electric vehicles (EV), and energy storage systems (ESS). This paper proposes a new strategy for optimal power consumption inside one microgrid; then, the approach will be extended to optimize the power consumption to enhance the resilience in the case of multi-MGs systems. The system controller of each microgrid has been implemented using ESP32 microcontroller and Raspberry IP4. The proposed approach intends to enhance the resilience of the system to react to any contingency in the system such as loss of power linkage between MG and the network in case of any natural disaster, especially in the rural area. Two controllers are implemented; the first one ensures MG autonomy by the efficient use of its own sources. The second one handles the system resilience cases by demanding/delivering power from/into neighbor microgrids. Hence, this work enhances the system resilience with an optimal cost. Thus, the MG can offer ancillary services for the neighboring MGs.
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    Backstepping Control of Drone †
    (MDPI, 2022) Saibi, Ali; Boushaki, Razika; Belaidi, Hadjira
    This work derives the models which can be used to design and implement control laws for six degrees-of-freedom (DOF) quadrotor stability. The first part of this paper deals with the presentation of the background of quadrotor modeling; the second part describes the direct control of the drone using the backstepping control principal. This principal is based on the division of the system into several sub-systems in a cascade, which makes the control laws generated on each subsystem, in a decreasing manner, until a global control law for the whole system is generated. The simulation results for the sm controller are generated on the MATLAB/Simulink platform; the results show a good performance in both the transient and steady-state operations.
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    Enhanced backstepping control for disturbances rejection in quadrotors
    (2022) Saibi, Ali; Belaidi, Hadjira; Boushaki, Razika; Recham, Zine Eddine; Amrouche, Hafid
    This work studies the issue of quadrotor trajectory tracking control in presence of disturbances and model uncertainties. The paper starts by extracting the kinematics and dynamics models of the quadrotor. This results in the motion equations, which eventually serve as a blueprint for creating the suggested smart flight control scheme. Secondly, an enhanced backstepping controller (BSC) is developed and tested to keep the quadrotor tracking the desired trajectory both in steady state and in presence of disturbances. Finally, BSC beside two other controllers: sliding mode controller (SMC) and proportional derivative controller (PDC) are implemented in MATLAB/Simulink and the obtained results are compared and conclusions are extracted. Therefore, it is established that PDC is not robust to disturbances as noise will be amplified due to the derivative term. Whereas, although SMC is robust to parameter variations and disturbances; however, it is not continuous which may affect the actuators due to the increased gains which may saturate them. In contrast, BSC requires too many tuning parameters; however, it ensures Lyapunov Stability and does not depend on the system as it does not involve cancelling system nonlinearity. Moreover, BSC results are 1017 better than the results of the two other controllers.
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    Human–Robot shared control for path generation and execution
    (Springer, 2019) Belaidi, Hadjira; Hentout, Abdelfetah; Bentarzi, Hamid
    A telerobotic system consists of integrating an operator into the control loop of a remote robot. Due to safety considerations, it is very important sometimes that the operator be able to remotely take control of the task and the robot. In this paper, a shared control mode for mobile robots is defined according to the operator ability to control the robot and the autonomy level of the robot itself. In this mode, the task execution is simultaneously accomplished by the operator and the robot, according to the percentage of the task-share coefficient. This depends on several factors such as robot autonomy, user ability, environment accessibility and task difficulty. An experimental application of the developed shared control for path generation task execution is planned for a non-holonomic mobile robot evolving inside a workspace cluttered with static obstacles. In this case, Non-Uniform Rational B-Splines curves are used to generate the robot path linking the Starting point I and the Target point F. The operator can control the robot even by selecting or inserting new control points on the initial feasible path, or by directly moving the robot via the developed Human/Robot Interface or the joystick
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    Complex forms trajectory tracking in robotized welding
    (2013) Belaidi, Hadjira; Belaidi, Abderrahmane
    Actually, in the majority of mechanical systems such as industrial robots, mobile robots with embarked structure, etc… the end-effector mass widely exceeds that of the supported load, and lot of works do not take it into account in their algorithms. These systems must be designed based on dynamic model; moreover the synthesis of the algorithm of an autonomous manipulator must be accomplished by taking into account nonlinearity and complexity of its dynamic model, this is in order to increase the control effectiveness. Currently, tasks involving a high precision welding of complex forms with high characteristics are very required in industry in general. This paper introduces the modeling of the end-effector movement equations to allow a tracking of welding cords with complex forms in the acceptable working zone
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    Implementation of a mobile robot platform navigating in dynamic environment
    (2017) Belaidi, Hadjira; Bentarzi, Hamid; Belaid, Mohamed
    Currently, problems of autonomous wheeled mobile robots in unknown environments are great challenge. Obstacle avoidance and path planning are the back bone of autonomous control as it makes robot able to reach its destination without collision. Dodging obstacles in dynamic and uncertain environment is the most complex part of obstacle avoidance and path planning tasks. This work deals with the implementation of an easy approach of static and dynamic obstacles avoidance. The robot starts by executing a free optimal path loaded into its controller; then, it uses its sensors to avoid the unexpected obstacles which may occur in that path during navigatio