Browsing by Author "Bourek, Amor"

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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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    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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    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