TY - JOUR AU - Saleh, Ameer Lateef AU - Al-Amyal, Fahad AU - Számel, László TI - Control techniques of switched reluctance motors in electric vehicle applications: A review on torque ripple reduction strategies JF - AIMS ELECTRONICS AND ELECTRICAL ENGINEERING J2 - AIMS ELECTRON ELECTRIC ENGIN VL - 8 PY - 2024 IS - 1 SP - 104 EP - 145 PG - 42 SN - 2578-1588 DO - 10.3934/electreng.2024005 UR - https://m2.mtmt.hu/api/publication/34763138 ID - 34763138 N1 - Export Date: 12 April 2024 Correspondence Address: Saleh, A.L.; Budapest University of Technology and Economics, Hungary; email: aalkalmashi@edu.bme.hu AB - As electric vehicles (EVs) continue to acquire prominence in the transportation industry, improving the outcomes and efficiency of their propulsion systems is becoming increasingly critical. Switched Reluctance Motors (SRMs) have become a compelling option for EV applications due to their simplicity, magnet-free design, robustness, and cost-effectiveness, making them an attractive choice for the growing EV market. Despite all these features and compared to other electrical machines, SRMs suffer from some restrictions, such as torque ripple and audible noise generation, stemming from their markedly nonlinear characteristics, which affect their productivity and efficiency. Therefore, to address these problems, especially the torque ripple, it is crucial and challenging to enhance the performance of the SRM drive system. This paper proposed a comprehensive review of torque ripple minimization strategies of SRMs in EV applications. It covered a detailed overview and categorized and compared many strategies, including two general categories of torque ripple mitigation encompassing optimization design topologies and control strategy developments. Then, focused on control strategy improvements and divided them into torque and current control strategies, including the sub-sections. In addition, the research also provided an overview of SRM fundamental operations, converter topologies, and excitation angle approaches. Last, a comparison between each method in torque control and current control strategies was listed, including the adopted method, features, and drawbacks. LA - English DB - MTMT ER - TY - JOUR AU - Számel, László AU - Oloo, Jackson TI - Monitoring of Stator Winding Insulation Degradation through Estimation of Stator Winding Temperature and Leakage Current JF - MACHINES J2 - MACHINES VL - 12 PY - 2024 IS - 4 PG - 18 SN - 2075-1702 DO - 10.3390/machines12040220 UR - https://m2.mtmt.hu/api/publication/34758408 ID - 34758408 N1 - Export Date: 3 May 2024 Correspondence Address: Oloo, J.; Department of Electric Power Engineering, Egry József Utca 18, Hungary; email: joloo@edu.bme.hu AB - Switched Reluctance Motors (SRMs), Permanent Magnet Synchronous Motors (PMSMs), and induction motors may experience failures due to insulation-related breakdowns. The SRM rotor is of a non-salient nature and made of solid steel material. There are no windings on the rotor. However, the stator is composed of windings that are intricately insulated from each other using materials such as enamel wire, polymer films, mica tapes, epoxy resin, varnishes, or insulating tapes. The dielectric strength of the insulation may fail over time due to several environmental factors and processes. Dielectric breakdown of the winding insulation can be caused by rapid switching of the winding current, the presence of contaminants, and thermal aging. For reliable and efficient operation of the SRMs and other electrical machines, it is necessary to take into account the physics of the winding insulation and perform appropriate diagnostics and estimations that can monitor the integrity of the insulation. This article presents the estimation problem using a Genetic Algorithm (GA)-optimized Random Forest Regressor. Empirical properties and measurable quantities in the historical data are utilized to derive temperature and leakage current estimation. The developed model is then combined with a moving average function to increase the accuracy of prediction of the stator winding temperature and leakage current. The performance of the model is compared with that of the Feedforward Neural Network and Long Short-Term Memory over the same winding temperature and leakage current historical data. The performance metrics are based on computation of the Mean Square Error and Mean Absolute Error. LA - English DB - MTMT ER - TY - JOUR AU - Al Quraan, Laith AU - Saleh, Ameer Lateef AU - Számel, László TI - Indirect Instantaneous Torque Control for Switched Reluctance Motor Based on Improved Torque Sharing Function JF - IEEE ACCESS J2 - IEEE ACCESS VL - 12 PY - 2024 SP - 11810 EP - 11821 PG - 12 SN - 2169-3536 DO - 10.1109/ACCESS.2024.3355389 UR - https://m2.mtmt.hu/api/publication/34554370 ID - 34554370 N1 - Export Date: 2 February 2024 AB - Switched reluctance motors (SRMs) have recently gained notable interest in industrial applications. Yet, their inherent torque ripple poses a significant impediment, limiting the adoption of SRM in high-performance applications. Instantaneous Torque Control (ITC) based on conventional Torque Sharing Function (TSF) is considered a promising technique for torque ripple reduction of SRMs at low speeds. However, the back electromotive force is increased with speed escalation, reducing torque tracking ability to its reference in the ITC based on conventional TSF, especially in the demagnetizing period. The high inductance value in this period opposes phase-current decaying, generating considerable torque ripple, making the ITC unsuitable at medium and high speeds. This paper proposes the indirect ITC based on an improved TSF to address the torque ripple over extended speed for SRM drive. The improved TSF relies on predicting the outgoing phase torque in the demagnetizing period and compensating for the difference between the predicting and reference torque in the next excitation phase by reshaping the incoming phase torque, minimizing the torque ripple. Moreover, simple analytical formulas are used to regulate the control angles to gain further improvements and extended speed. An accurate nonlinear motor model is created based on static magnetic characteristics estimated by the finite element analysis. Several simulated results are conducted to evaluate the effectiveness of the proposed controller. The proposed method offers higher torque ripple mitigation with the speed increase, decreasing the torque ripple by 10% to 45%. Furthermore, the proposed control reduces copper losses and enhances efficiency and torque/current ratio. Authors LA - English DB - MTMT ER - TY - GEN AU - Khaldoon, Alfaverh AU - Számel, László TI - Load Frequency Control Enhancement Using Reinforcement Learning Technique PY - 2023 PG - 1 UR - https://m2.mtmt.hu/api/publication/34714289 ID - 34714289 LA - English DB - MTMT ER - TY - CHAP AU - Kamoona, Mustafa A. AU - Saleh, Ameer Lateef AU - Számel, László AU - Mauricio, Juan Manuel TI - Optimization of String Efficiency Insulators for 33kV and 132kV Based on Modified Particle Swarm Optimization T2 - 2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE) PB - IEEE CY - Danvers (MA) SN - 9798350328751 T3 - Proceedings of International Conference and Workshop Óbuda on Electrical and Power Engineering, ISSN 2831-4492 PY - 2023 SP - 000029 EP - 000036 PG - 8 DO - 10.1109/CANDO-EPE60507.2023.10418036 UR - https://m2.mtmt.hu/api/publication/34567964 ID - 34567964 N1 - Export Date: 18 March 2024 AB - One of the key parts of overhead transmission lines that support and insulate the power transmission line is the string insulator discs. This need involves a meticulous design of string insulators for achieving high string efficiency, this is necessary for efficient power transmission. This paper has two aims, first improving and developing the efficiency of string insulators of overhead transmission lines 33kV and 132kV to be efficient, properly insulated and safe. Based on an optimum value of the capacitance (self-capacitance) which can be achieved via the proposed algorithm named Modified Particle Swarm Optimization (MPSO) technique which is the second aim of this paper. The MPSO algorithm tuned the self-capacitance (Cnew) as well as operating the model at the high efficiency of the string insulators with respect to its mechanical effectiveness. Moreover, analysis and evaluations of the systems (33kV and 132kV) as a classic model, proposed model and the MPSO have been carried out by MATLAB/Simulink R2022b environment. On the basis of the simulation findings, this paper produced a specific theoretical design for two transmission line systems 33kV and 132kV; where remarkable that the string efficiencies of 33kV and 132kV systems increased by 14.24% and 64.54% respectively. Also, compared the results between the proposed MPSO and conventional PSO. © 2023 IEEE. LA - English DB - MTMT ER - TY - CHAP AU - Aswad, Raya A. K. AU - Számel, László TI - Parameter Estimation of Asynchronous Motors Via Trust Region and Pattern Search Optimization Methods T2 - 2023 IEEE 6th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE) PB - IEEE CY - Danvers (MA) SN - 9798350328751 T3 - Proceedings of International Conference and Workshop Óbuda on Electrical and Power Engineering, ISSN 2831-4492 PY - 2023 SP - 000119 EP - 000124 PG - 6 DO - 10.1109/CANDO-EPE60507.2023.10418029 UR - https://m2.mtmt.hu/api/publication/34566458 ID - 34566458 N1 - Export Date: 18 March 2024 AB - Since their first invention by Nikola Tesla, asynchronous motors (Induction Motors 'IM') have been enormously employed in versatile industrial applications. Therefore, researchers pay undividable attention to different research aspects related to these machines. Parameter estimation of an IM is considered a vital research area as identification of IM's parameters is crucial for precise performance of their control drive. The traditional method that used for the aforementioned purpose is through experimental blocked rotor and no load tests based on IEEE Standard 112-1996, which is not efficient as the rotor should be mechanically locked. However, this issue can be resolved thanks to the development of optimization methods, which allow estimation of the parameters accurately. In this paper, two optimization methods are investigated for identification of asynchronous motors, the methods are Trust Region Method 'TRM' and Pattern Search Algorithm 'PSA'. The simulation results show that both methods are effectively able to reach the optimal solution, with a superior advantage to TRM method as it can achieve the same results with less time-consumption. © 2023 IEEE. LA - English DB - MTMT ER - TY - JOUR AU - Al Quraan, Laith AU - Számel, László TI - Torque ripple reduction of switched reluctance motor using direct instantaneous torque control and adaptive turn-on technique for electric vehicle applications JF - IET ELECTRIC POWER APPLICATIONS J2 - IET ELECTR POWER APP VL - 17 PY - 2023 IS - 12 SP - 1502 EP - 1514 PG - 13 SN - 1751-8660 DO - 10.1049/elp2.12358 UR - https://m2.mtmt.hu/api/publication/34123381 ID - 34123381 N1 - Export Date: 1 September 2023 Correspondence Address: Al Quraan, L.; Budapest University of Technology and Economics, Egry József utca 18, Hungary; email: alquraan.laith@vet.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Alfaverh, Khaldoon Iqtaish Khaled AU - Alfaverh, F. AU - Számel, László TI - Plugged-in electric vehicle-assisted demand response strategy for residential energy management JF - Energy Informatics J2 - Energy Inform VL - 6 PY - 2023 IS - 1 PG - 24 SN - 2520-8942 DO - 10.1186/s42162-023-00260-9 UR - https://m2.mtmt.hu/api/publication/33742864 ID - 33742864 N1 - Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, P.O.B. 91, Budapest, 1521, Hungary School of Engineering and Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, United Kingdom Export Date: 11 April 2023 Correspondence Address: Alfaverh, K.; Department of Electric Power Engineering, P.O.B. 91, Hungary; email: khaldoonalfaverh@edu.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Tuhin, Md Ibrahim Khan AU - Luu, Hai Tung AU - Számel, László TI - Deadbeat Predictive Control Method for 4-leg Inverters JF - PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE J2 - PERIOD POLYTECH ELECTR ENG COMP SCI VL - 67 PY - 2023 IS - 1 SP - 70 EP - 82 PG - 13 SN - 2064-5260 DO - 10.3311/PPee.20981 UR - https://m2.mtmt.hu/api/publication/33635486 ID - 33635486 N1 - Correspondence Address: Khan, T.I.; Department of Electric Power Engineering, Egry József u. 18, Hungary; email: tuhin27mar@edu.bme.hu AB - Until now, computational burden alleviation and stability issues for the three-phase four-leg converter has not yet been thoroughly investigated. However, compared to the conventional controllers, the implementation of predictive current control approach for 3-Ø, 4-L inverter suffers a large computational burden due to its additional fourth-leg. Motivated by this fact, this article provides an alternative predictive current control implementation for 3-Ø, 4-L inverter which offers reduced computational effort to achieve similar performance as the conventional FCS-MPC and ensures the global stability of the closed-loop system. To further understand the consequences of the developed control law, theoretical stability analysis has been carried out that links Lyapunov's direct method with the closed-loop system behavior. The outcome of the theoretical stability analysis demonstrates the global stability of the overall system which is later supported by the experimental results. With the proposed method, the number of possible voltage vectors required to obtain the optimal voltage vector in each sampling interval reduces from sixteen to five and thereby simplifies the prediction process. It is also derived that the Lyapunov function-based approach actually yields to the dead-beat control, which has not been previously highlighted in the previous papers. The current work also provides experimental results for different loading conditions (balanced and unbalanced) which further demonstrates the efficacy of the proposed method. LA - English DB - MTMT ER - TY - JOUR AU - Al-Amyal, Fahad AU - Számel, László AU - Hamouda, Mahmoud TI - An enhanced direct instantaneous torque control of switched reluctance motor drives using ant colony optimization JF - AIN SHAMS ENGINEERING JOURNAL J2 - AIN SHAMS ENG J VL - 14 PY - 2023 IS - 5 SN - 2090-4479 DO - 10.1016/j.asej.2022.101967 UR - https://m2.mtmt.hu/api/publication/33151760 ID - 33151760 N1 - Budapest University of Technology and Economics, Department of Electric Power Engineering, Egry József utca 18, H-1111 Budapest, Hungary Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt Correspondence Address: Al-Amyal, F.1111 Budapest Egry József u. 18. 4. Emelet 408, Hungary; email: fahad.alamyal@edu.bme.hu AB - The highly nonlinear characteristics of switched reluctance motors (SRMs) are the drawback that compli-cates their control and modeling. Hence, obtaining the best performance becomes a challenging task. Therefore, this paper presents an upgraded methodology of the ant colony optimization (ACO) technique. The proposed multistage ant colony optimization (MSACO) enhances the search capability of the classical ACO. Therefore, it helps to find the best switching angles without violating pre-specified constraints. The optimized angles are used to implement an improved high-performance direct instantaneous torque con-trol (DITC) drive. This work focuses on reducing torque ripple, improving motor efficiency, and prevent-ing generating a considerable amount of negative torque. Moreover, a current detector is used to provide information about negative torque production and thus helps to find optimal angles and avoid the set of solutions that give a considerable amount of negative torque. Furthermore, a new switching strategy is utilized to implement an efficient hysteresis torque controller, where the selection of the switching mode of the power converter is entirely determined based on the inductance profile of the SRM. The utilized switching strategy guarantees accurate torque tracking over the entire phase excitation period; thus, the machine's torque profile is improved further. The simulation results showed the superiority of the proposed control method over the traditional control method. In addition, the experimental measure-ments have been carried out to verify the simulation findings using a three-phase 750 W, 12/8 SRM prototype.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams Uni-versity. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/). LA - English DB - MTMT ER -