[
Arshad, M. H., Abido, M. A., Salem, A. and 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, pp. 177595–177606. doi: 10.1109/ACCESS.2019.2958415.10.1109/ACCESS.2019.2958415
]Search in Google Scholar
[
Davari, S. A., Norambuena, M., Nekoukar, V., Garcia, C. and Rodriguez, J. (2020). Even-Handed Sequential Predictive Torque and Flux Control. IEEE Transactions on Industrial Electronics, 67(9), pp. 7334–7342. doi: 10.1109/TIE.2019.2945274.10.1109/TIE.2019.2945274
]Search in Google Scholar
[
Davari, S. A., Nekoukaar, V., Garcia, C. and Rodriguez, J. (2021). Online Weighting Factor Optimization by Simplified Simulated Annealing for Finite Set Predictive Control. IEEE Transactions on Industrial Informatics, 17(1), pp. 31–40. doi: 10.1109/TII.2020.2981039.10.1109/TII.2020.2981039
]Search in Google Scholar
[
Guazzelli, P. R., de Andrade Pereira, W. C., de Oliveira, C. M., de Castro, A. G. and de Aguiar, M. L. (2019). Weighting Factors Optimization of Predictive Torque Control of Induction Motor by Multiobjective Genetic Algorithm. IEEE Transactions on Power Electronics, 34(7), pp. 6628–6638. doi: 10.1109/TPEL.2018.2834304.10.1109/TPEL.2018.2834304
]Search in Google Scholar
[
Gürel, A. and Zerdali, E. (2021). Metaheuristic Optimization of Predictive Torque Control for Induction Motor Control. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 11(1). doi: 10.28948/ngumuh.969734.10.28948/ngumuh.969734
]Search in Google Scholar
[
Kouro, S., Cortes, P., Vargas, R., Ammann, U. and Rodriguez, J. (2009). Model Predictive Control—A Simple and Powerful Method to Control Power Converters. IEEE Transactions on Industrial Electronics, 56(6), pp. 1826–1838. doi: 10.1109/TIE.2008.2008349.10.1109/TIE.2008.2008349
]Search in Google Scholar
[
Muddineni, V. P., Bonala, A. K. and Sandepudi, S. R. (2021). Grey Relational Analysis-Based Objective Function Optimization for Predictive Torque Control of Induction Machine. IEEE Transactions on Industry Applications, 57(1), pp. 835–844. doi: 10.1109/TIA.2020.3037875.10.1109/TIA.2020.3037875
]Search in Google Scholar
[
Muddineni, V. P., Sandepudi, S. R. and Bonala, A. K. (2017). Finite Control Set Predictive Torque Control for Induction Motor Drive with Simplified Weighting Factor Selection Using TOPSIS Method. IET Electric Power Applications, 11(5), pp. 749–760. doi: 10.1049/iet-epa.2016.0503.10.1049/iet-epa.2016.0503
]Search in Google Scholar
[
Nemec, M., Nedeljković, D. and Ambrožič, V. (2007). Predictive Torque Control of Induction Machines using Immediate Flux Control. IEEE Transactions on Industrial Electronics, 54(4), pp. 2009–2017. doi: 10.1109/TIE.2007.895133.10.1109/TIE.2007.895133
]Search in Google Scholar
[
Rodriguez, J., Kennel, R. M., Espinoza, J. R., Trincado, M., Silva, C. A. and Rojas, C. A. (2012). High-Performance Control Strategies for Electrical Drives: An Experimental Assessment. IEEE Transactions on Industrial Electronics, 59(2), pp. 812–820. doi: 10.1109/TIE.2011.2158778.10.1109/TIE.2011.2158778
]Search in Google Scholar
[
Rodriguez, J., Kazmierkowski, M. P., Espinoza, J. R., Zanchetta, P., Abu-Rub, H., Young, H. A. and Rojas, C. A. (2013). State of the Art of Finite Control Set Model Predictive Control in Power Electronics. IEEE Transactions on Industrial Informatics, 9(2), pp. 1003–1016. doi: 10.1109/TII.2012.2221469.10.1109/TII.2012.2221469
]Search in Google Scholar
[
Rojas, C. A., Rodriguez, J., Villarroel, F., Espinoza, J. R., Silva, C. A. and Trincado, M. (2013). Predictive Torque and Flux Control Without Weighting Factors. IEEE Transactions on Industrial Electronics, 60(2), pp. 681–690. doi: 10.1109/TIE.2012.2206344.10.1109/TIE.2012.2206344
]Search in Google Scholar
[
Rojas, C. A., Rodriguez, J. R., Kouro, S. and Villarroel, F. (2017). Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive. IEEE Transactions on Power Electronics, 32(8), pp. 6245–6260. doi: 10.1109/TPEL.2016.2619378.10.1109/TPEL.2016.2619378
]Search in Google Scholar
[
Stando, D. and Kazmierkowski, M. P. (2020). Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive. Power Electronics and Drives, 5(1), pp. 189–198. doi: 10.2478/pead-2020-0014.10.2478/pead-2020-0014
]Search in Google Scholar
[
Wang, F., Li, S., Mei, X., Xie, W., Rodriguez, J. and Kennel, R. M. (2015). Model-based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods. IEEE Transactions on Industrial Informatics, 11(3), pp. 671–681. doi: 10.1109/TII.2015.2423154.10.1109/TII.2015.2423154
]Search in Google Scholar
[
Wang, F., Zhang, Z., Mei, X., Rodriguez, J. and Kennel, R. (2018). Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control. Energies, 11(1), pp. 120. doi: 10.3390/en11010120.10.3390/en11010120
]Search in Google Scholar
[
Wang, F., Xie, H., Chen, Q., Davari, S. A., Rodriguez, J. and Kennel, R. (2020). Parallel Predictive Torque Control for Induction Machines Without Weighting Factors. IEEE Transactions on Power Electronics, 35(2), pp. 1779–1788. doi: 10.1109/TPEL.2019.2922312.10.1109/TPEL.2019.2922312
]Search in Google Scholar
[
Zerdali, E. and Barut, M. (2017). The Comparisons of Optimized Extended Kalman Filters for Speed-Sensorless Control of Induction Motors. IEEE Transactions on Industrial Electronics, 64(6), pp. 4340–4351. doi: 10.1109/TIE.2017.2674579.10.1109/TIE.2017.2674579
]Search in Google Scholar
[
Zhang, Y. and Yang, H. (2015). Model-Predictive Flux Control of Induction Motor Drives With Switching Instant Optimization. IEEE Transactions on Energy Conversion, 30(3), pp. 1113–1122. doi: 10.1109/TEC.2015.2423692.10.1109/TEC.2015.2423692
]Search in Google Scholar