Publications Scientifiques

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Author: search.filters.author.Ammar, Abdelkarim

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    Performance Enhancement of an LADRC Controller Using LDOB-Based Observers for PMSMs in Electric Vehicles: An Experimental Validation
    (Springer Science and Business Media, 2025) Slimani, Amira; Bourek, Amor; Ammar, Abdelkarim; Kakouche, Khoudir; Benrabah, Abdeldjabar; Hattab, Wassila; Ziane, Djamel
    Electric vehicles (EVs) are progressively acknowledged globally for their capacity to mitigate environmental challenges, improve energy efficiency, decrease emissions, and foster sustainable mobility. Efficient speed adjustment of the electric tri-drive system in electric vehicles, commonly employing permanent magnet synchronous motors (PMSMs), is essential for improving system efficiency. This manuscript introduces a novel finite-control-set model predictive current control (FCS-MPC) method, specifically model predictive current control (MPCC) combined with a linear active disturbance rejection controller (LADRC) for speed control. Unlike traditional LADRC based on a linear extended state observer (LESO), the proposed LADRC integrates a linear disturbance observer (LDOB). The LADRC-LDOB enhances precision, improves response speed, eliminates overshoot during speed changes, and offers greater robustness against external disturbances and parametric uncertainties compared to the LESO-LADRC. Furthermore, the LDOB employs a sophisticated metaheuristic technique, the Harris Hawks optimization (HHO) algorithm, to optimize the observer gain. The performance of the proposed controller is numerically simulated in MATLAB/Simulink and experimentally validated on a control system platform based on dSPACE DS1104. The proposed control improves the PMSM control system by eliminating overshoot, demonstrating significant robustness, and effectively managing external disturbances and parametric uncertainties, as both simulation and experimental results show
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    Open-Switches fault diagnosis and fault tolerant direct torque control of voltage source inverter fed induction motor
    (Springer Nature, 2024) Boubou, Fouad Eddine; Nedjai, Abd Elouahed; Ammar, Abdelkarim
    Fault diagnosis and fault tolerance are considered essential features in critical industrial applications in order to maintain the necessary levels of availability and dependability. The components that are most frequently affected by failures in closed-loop controlled power converters are semiconductors and sensors. This work focuses on fault tolerant direct torque control (DTC) of induction motor drive systems under inverter open-switch failure. This system detects and isolates the fault, and then ensures the system’s operation under the new conditions. The solution was accomplished using a new reduced switch converter. This system modifies the DTC switching table using available stator voltage vectors in two-phase mode with a Four Switch Three Phase Inverter (FSTPI) topology to maintain the performance of the motor as in the Six Switch Three Phase Inverter (SSTPI) mode. The effectiveness of the fault detection method and fault tolerant control algorithm have been investigated using MATLAB/Simulink software.
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    Real-Time Backstepping Control Based MRAS Speed Estimation of an Induction Machine
    (Institute of Electrical and Electronics Engineers Inc, 2023) Benakcha, Meryem; Benakcha, Abdelhamid; Benakcha, Younes; Ammar, Abdelkarim; Belaroussi, Oussama
    This work presents a real-time evaluation of a sensorless MRAS-backstepping control applied to an induction process (IM). To run the system in safe mode, a backstepping method is first implemented. It guarantees decoupled torque and flux management of the IM without the need for an additional regulator by removing the proportional/integral controller (PI) and decreasing the number of gains that are highly reliant on the temperature-dependent IM parameters. The backstepping control is designed to attain the required speed and flux, and it is ideally suited for regulating an uncertain system that may be affected by external disturbances. Its formulation is based on the application of Lyapunov functions to assure the overall stability of the system. The second section presents a model reference adaptive system (MRAS) to estimate rotor speed and eliminate the sensor, the system's weakest link. Utilizing dSPACE 1104 cards, the suggested control procedure is evaluated. The achieved experimental results indicate that the entire system runs smoothly, with the proposed MRAS-backstepping providing high performance, the system successfully tracking the speed profile under tolerable load, and the system maintaining its dynamic behavior at different speed levels.
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    Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM
    (International Information and Engineering Technology Association, 2024) Dahnoun, Ilyes; Bourek, Amor; Ammar, Abdelkarim; Belaroussi, Oussama
    Improving tracking performance in speed controllers for permanent-magnet synchronous motor (PMSM) drive systems is critical due to internal challenges such as parameter variations, model uncertainty, and external disturbances like load changes. This paper proposes a new method that combines sensorless model predictive control (MPC) with active disturbance rejection control (ADRC), employing an extended state observer (ESO) as a key component of the ADRC. Notably, the proposed ADRC-MPC control integrates the advantages of MPC, such as good time response, high robustness against load variation, and a low effect of parameter variation in comparison to conventional control methods like field-oriented control (FOC). The ADRC-MPC reduces torque and flux ripples and also reduces torque and flux irregularities as well as current harmonics, which presents a major drawback in direct torque control (DTC). The proposed control with finite set model predictive control (FS-MPC) eliminates the PWM modulation and the complexity of continuous control set model predictive control (CCS-MPC). In the outer loop, the ADRC-MPC and the ESO present a very good solution. It presents a lower processing requirement than other controllers, especially the fuzzy logic controller (FLC), and also presents a consistent dynamic behavior across the entire operating range, contrary to the PID. The ADRC with ESO presents a promising solution to these challenges. The effectiveness of the proposed method is demonstrated through numerical simulations using MATLAB/Simulink software and experiments on a 3-kW surface-mounted PMSM drive system. both simulation and experimental results under different conditions show the effectiveness of the proposed approach.
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    Developing and implementing the performance of induction motors used in well pumping systems
    (2022) Belaroussi, Oussama; Terki, Amel; Ammar, Abdelkarim; Fedorovich, Kalinin Vyaslav
    Because water extraction from wells accounts for the bulk of energy consumption in irrigation operations globally, the sustainability and profitability of irrigation are strongly reliant on the energy efficiency of the pumping system. A technique that studies and improves the performance of motors used in well pumping systems is reported in this body of research as having been undertaken. In a similar manner, an experimental investigation of the energy efficiency of two modern systems of induction motor control has been carried out. According to the results, proper control performance is critical to achieving improvements in energy and efficiency. Using DTC-SVM for IM, the purpose of this study is to demonstrate a prototype of a pumping system that is powered by solar energy in the presence of changing radiation levels. Real-time MATLAB/Simulink simulations are used in conjunction with a dSpace 1104 board to carry out the hardware implementation
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    Enhanced sensorless predictive direct power control for PWM rectifier with constant switching frequency under grid disturbances
    (IEEE, 2021) Djabali, Sarah; Ammar, Abdelkarim; Kheldoun, Aissa
    This work presents a voltage sensorless predictive direct power control strategy for PWM-rectifier. Firstly, the line-voltages are estimated using Second-Order Generalized Integrators (SOGI) coupled with Frequency Locked Loop (FLL). SOGI are inherent noise rejectors and FLL provides instantaneous tracking of the grid frequency. Their combination offers high robustness against grid disturbances, distinctively: harmonics distortion and frequency fluctuations. Secondly, Model Predictive Control (MPC) with Finite Control Set (FCS) attributes conceptual simplicity and higher accuracy than conventional controllers but suffers from variable switching frequency. In this paper, we propose MPC approach that solves the switching frequency problem while maintaining the accu- racy of FCS. Last, the decoupled control between active and reactive powers of Direct Power Control (DPC) offers flexibility of operation over variable power factors. The effectiveness and reliability of the proposed approach are investigated through simulation using MATLAB/SIMULINK software
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    Robust model predictive control for induction motor drive using disturbance observer with MRAS speed estimator
    (IEEE, 2021) Ammar, Abdelkarim; Kheldoun, Aissa; Metidji, Brahim; Benakcha, Meryem; Bourek, Amor; Benakcha, Abdelhamid
    Predictive torque control (PTC) has a similar architecture to direct torque control (DTC). Instead of using a look-up switching table and hysteresis comparators, this technique assesses the torque and stator flux as a cost function. It incorporates the inverter model into the control design and avoids the use of any modulation bloc. sensorless predictive torque control is investigated in this paper. The use of a sensorless algorithm can reduce the cost of the drive while also increasing its reliability. Dual observer structures will be introduced into the overall PTC scheme in this work. As a speed estimator, the model reference adaptive system (MRAS) is proposed. Then, apply a load disturbance observer (DOB). This work proposes an improvement to the external speed control loop. The DOB can assure precise speed monitoring and increase the speed loop's disturbance rejection performance in addition to estimating the applied load torque. A numerical simulation utilizing MATLAB/Simulink software is used to verify the effectiveness of the proposed algorithms
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    Improved virtual Flux-Direct power control for PWM rectifier based on Second-Order generalized integrators
    (IEEE, 2020) Djabali, Sarah; Ait Hamou Ali, Melissa; Ammar, Abdelkarim
    The AC-DC conversion system in the power system use generally the diode-bridge based rectifiers that cannot be reversible and causes high current distortion. Besides, they reduce the power factor and energy quality. recently, the application of three-phase pulse width modulation (PWM) rectifier has been risen quickly due to breakthrough advancement in the power devices. This converter is widely used in many applications such as electrical drives and renewable energy conversion systems. It offers plenty of advantages, mainly sinusoidal input currents and minimized harmonic distortion and unity power factor. This work presents an improved sensorless control for performance enhancement purpose of the PWM-rectifier. The proposed control strategy uses the virtual flux principle with second-order generalized integrator (SOGI) in order to overcome the accompanying drawbacks of using pure integrator of low-pass filters for estimation. The integration of improved virtual flux estimator with direct power control saves the cost of using many voltage sensors which can increase the reliability and effectivity of the control system. The different proposed approaches have been investigated through simulation using MATLAB/Simulink software
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    Experimental study of a real-time control by backstepping technique of an induction motor drive
    (IEEE, 2021) Benakcha, Meryem; Benakcha, Abdelhamid; Zouzou, Salah Eddine; Ammar, Abdelkarim
    Induction machine, associated with a static converter, constitutes a variable speed drive whose industrial uses are increasingly important. To achieve good dynamic performances, it is therefore necessary to develop robust control laws. The aim of this paper is the experimental validation of a Backstepping vector control strategy applied to the three-phase induction machine (IM). This approach consists in replacing the conventional controller proportional/integral (PI) by an algorithm using the Backstepping technique. The PI controller has the drawbacks of a strong dependence on the machine parameters in their gains synthesis. The system development is based on Lyapunov's stability theory. The results show good dynamic performances, because the system perfectly follows the speed reference, ensuring the decoupling of the two fluxes. The design of the control and its experimental implementation in real time are carried out on a dSPACE 1104 acquisition card and in a MATLAB / Simulink environment. The machine used is a three-phase 1.1 kW induction machine
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    Efficiency improvement of robust-direct torque control for an induction motor drive
    (IEEE, 2019) Ammar, Abdelkarim; Ameid, Tarek; Azzoug, Younes; Kheldoun, Aissa
    This paper presents a design of a robust optimized direct torque control for induction machine drive. Since the classical method that uses linear controllers is weak during the presence of uncertainties, the control scheme can be improved by the association of a robust control approach. The sliding mode approach is proposed is inserted to achieve a decoupled control and improve its robustness versus different disturbances. Over and above, an optima control algorithm based on losses minimization is coupled with the main control scheme for efficiency optimization. This technique consists on the generation of an appropriate flux reference according to the applied load value to have an efficient control, especially for light loads and variable load applications. The effectiveness of the proposed control technique is investigated by different tests using MATLAB/Simulink simulation