[
Arshad, M.H., Abido, M.A., Salem, A., Elsayed, A.H., 2019. Weighting Factors Optimization of Model Predictive Torque Control of Induction Motor Using NSGA-II With TOPSIS Decision Making. IEEE Access 7, 177595–177606. https://doi.org/10.1109/ACCESS.2019.2958415
]Search in Google Scholar
[
Davari, S.A., Nekoukar, V., Garcia, C., Rodriguez, J., 2021. Online Weighting Factor Optimization by Simplified Simulated Annealing for Finite Set Predictive Control. IEEE Trans. Ind. Informatics 17, 31–40. https://doi.org/10.1109/TII.2020.2981039
]Search in Google Scholar
[
Dragičević, T., Novak, M., 2019. Weighting Factor Design in Model Predictive Control of Power Electronic Converters: An Artificial Neural Network Approach. IEEE Trans. Ind. Electron. 66, 8870–8880. https://doi.org/10.1109/TIE.2018.2875660
]Search in Google Scholar
[
Guazzelli, P.R.U., de Andrade Pereira, W.C., de Oliveira, C.M.R., de Castro, A.G., de Aguiar, M.L., 2019. Weighting Factors Optimization of Predictive Torque Control of Induction Motor by Multiobjective Genetic Algorithm. IEEE Trans. Power Electron. 34, 6628–6638. https://doi.org/10.1109/TPEL.2018.2834304
]Search in Google Scholar
[
Gurel, A., Zerdali, E., 2021a. The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy. Power Electron. Drives 6, 289–300. https://doi.org/10.2478/pead-2021-0018
]Search in Google Scholar
[
Gurel, A., Zerdali, E., 2021b. Metaheuristic Optimization of Predictive Torque Control for Induction Motor Control. Ömer Halisdemir Üniversitesi Mühendislik Bilim. Derg. 11, 55–61. https://doi.org/10.28948/ngumuh.969734
]Search in Google Scholar
[
Li, T., Sun, X., Lei, G., Guo, Y., Yang, Z., Zhu, J., 2022. Finite-Control-Set Model Predictive Control of Permanent Magnet Synchronous Motor Drive Systems - An Overview. IEEE/CAA J. Autom. Sin. 9, 2087–2105. https://doi.org/10.1109/JAS.2022.105851
]Search in Google Scholar
[
Mamdouh, M., Abido, M.A., Hamouz, Z., 2018. Weighting Factor Selection Techniques for Predictive Torque Control of Induction Motor Drives: A Comparison Study. Arab. J. Sci. Eng. 43, 433–445. https://doi.org/10.1007/s13369-017-2842-2
]Search in Google Scholar
[
Rodriguez, J., Garcia, C., Mora, A., Davari, S.A., Rodas, J., Valencia, D.F., Elmorshedy, M., Wang, F., Zuo, K., Tarisciotti, L., Flores-Bahamonde, F., Xu, W., Zhang, Zhenbin, Zhang, Y., Norambuena, M., Emadi, A., Geyer, T., Kennel, R., Dragicevic, T., Khaburi, D.A., Zhang, Zhen, Abdelrahem, M., Mijatovic, N., 2022a. Latest Advances of Model Predictive Control in Electrical Drives -Part II: Applications and Benchmarking With Classical Control Methods. IEEE Trans. Power Electron. 37, 5047–5061. https://doi.org/10.1109/TPEL.2021.3121589
]Search in Google Scholar
[
Rodriguez, J., Garcia, C., Mora, A., Flores-Bahamonde, F., Acuna, P., Novak, M., Zhang, Y., Tarisciotti, L., Davari, S.A., Zhang, Zhenbin, Wang, F., Norambuena, M., Dragicevic, T., Blaabjerg, F., Geyer, T., Kennel, R., Khaburi, D.A., Abdelrahem, M., Zhang, Zhen, Mijatovic, N., Aguilera, R.P., 2022b. Latest Advances of Model Predictive Control in Electrical Drives - Part I: Basic Concepts and Advanced Strategies. IEEE Trans. Power Electron. 37, 3927–3942. https://doi.org/10.1109/TPEL.2021.3121532
]Search in Google Scholar
[
Sahin, I., Keysan, O., Monmasson, E., 2020. Experimental tuning and design guidelines of a dynamically reconfigured weighting factor for the predictive torque control of an induction motor, in: 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe). IEEE, p. P.1-P.8. https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215739
]Search in Google Scholar
[
Wang, F., Li, J., Li, Z., Ke, D., Du, J., Garcia, C., Rodriguez, J., 2022. Design of Model Predictive Control Weighting Factors for PMSM Using Gaussian Distribution-Based Particle Swarm Optimization. IEEE Trans. Ind. Electron. 69, 10935–10946. https://doi.org/10.1109/TIE.2021.3120441
]Search in Google Scholar
[
Wang, F., Li, S., Mei, X., Xie, W., Rodríguez, J., Kennel, R.M., 2015. Model-based predictive direct control strategies for electrical drives: An experimental evaluation of PTC and PCC methods. IEEE Trans. Ind. Informatics 11, 671–681. https://doi.org/10.1109/TII.2015.2423154
]Search in Google Scholar
[
Zerdali, E., 2022. Multi-objective weighting factor optimization of predictive torque controlled induction motor drive considering switching frequency, in: IV. International Turkic World Congress on Science and Engineering. Nigde, pp. 36–43.
]Search in Google Scholar
[
Zerdali, E., Altintas, M., Bakbak, A., Mese, E., 2022. Computationally efficient predictive torque control strategies without weighting factors. Turkish J. Electr. Eng. Comput. Sci. 30, 2554–2567. https://doi.org/10.55730/1300-0632.3955
]Search in Google Scholar
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