STEROWANIE ZORIENTOWANE POLOWO DLA SILNIKÓW INDUKCYJNYCH OPARTE NA SZTUCZNEJ INTELIGENCJI

[1] Balal A. et al.: A review on multilevel inverter topologies. Emerging Science Journal 6(1), 2022, 185–200.
  Google Scholar

[2] Barzegarkhoo R. et al.: Switched-capacitor multilevel inverters: A compre-hensive review. IEEE Transactions on Power Electronics 37(9), 2022, 11209–11243.
  Google Scholar

[3] Blaschke F.: The principle of field orientation as applied to the new transvector closed-loop system for rotating-field machines. Siemens Review 34(3), 1972, 217–220.
  Google Scholar

[4] Chinmaya K. A., Singh G. K.: Experimental analysis of various space vector pulse width modulation (SVPWM) techniques for dual three-phase induction motor drive. International Transactions on Electrical Energy Systems 29(1), 2019, e2678.
  Google Scholar

[5] Ding Z. et al.: Introduction to reinforcement learning. Deep reinforcement learning: fundamentals, research and applications, 2020, 47–123.
  Google Scholar

[6] Goolak S. et al.: Mathematical modeling of an induction motor for vehicles. Eastern-European Journal of Enterprise Technologies 2(2), 2020, 104.
  Google Scholar

[7] Hari V., Narayanan G.: Space-vector-based hybrid pulse width modulation technique to reduce line current distortion in induction motor drives. IET Power Electronics 5(8), 2012, 1463–1471.
  Google Scholar

[8] Hasse K.: On the dynamics of speed control of a static ac drive with a squirrel-cage induction machine. Ph.D., TH Darmstadt, 1969.
  Google Scholar

[9] Kumar P., Hati A. S.: Review on machine learning algorithm based fault detection in induction motors. Archives of Computational Methods in Engineering 28, 2021, 1929–1940.
  Google Scholar

[10] Memon A. Y.: Reinforcement Learning Based Field Oriented Control Of An Induction Motor. Third International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT). Pakistan, Karachi, 2022, 1–8.
  Google Scholar

[11] Patel P. J., Patel V., Tekwani P. N.: Pulse-based dead-time compensation method for self-balancing space vector pulse width-modulated scheme used in a three-level inverter-fed induction motor drive. IET Power Electronics 4(6), 2011, 624–631.
  Google Scholar

[12] Qi X., Cao W., Aarniovuori L.: Reinforcement learning based parameter lookup table generating method for optimal torque control of induction motors. IEEE Transactions on Industrial Electronics 70(5), 2022, 4516–4525.
  Google Scholar

[13] Sistani M. B. N., Hesari S.: Decreasing Induction Motor Loss Using Reinfor-cement Learning. Journal of Automation and Control Engineering 4(1), 2016.
  Google Scholar

[14] Stender M., Wallscheid O., Böcker J.: Accurate torque estimation for induction motors by utilizing a hybrid machine learning approach. IEEE 19th International Power Electronics and Motion Control Conference (PEMC). 2021, 390–397.
  Google Scholar

[15] Tamilvani M. et al.: Harmonic reduction in variable frequency drives using active power filter. Bulletin of Electrical Engineering and Informatics (BEEI) 3(2), 2014, 119–126.
  Google Scholar

[16] Torrey D. A., Selamogullari U. S.: Modelica implementation of field-oriented controlled 3-phase induction machine drive. 2nd Int. Modelica Conf., DLR, Oberpfaffenhofen, Germany 2002, 173–182.
  Google Scholar

[17] Vaezi S. A., Iman-Eini H., Razi R.: A New Space Vector Modulation Technique for Reducing Switching Losses in Induction Motor DTC-SVM Scheme. 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC). Iran, Shiraz, 2019, 184–188.
  Google Scholar

[18] Wang F. et al.: Advanced control strategies of induction machine: Field oriented control, direct torque control and model predictive control. Energies 11(1), 2018, 120.
  Google Scholar

[19] Wang H. N. et al.: Deep reinforcement learning: a survey. Frontiers of Information Technology & Electronic Engineering 21(12), 2020, 1726–1744.
  Google Scholar

[20] Zahraoui Y., Akherraz M., Fahassa C.: Induction Motor DTC Performance Improvement By Reducing Torque Ripples in Low Speed. U.P.B. Sci. Bull., Series C 81(3), 2019, 249–260.
  Google Scholar

[21] Zhang Z. et al.: Novel Direct Torque Control Based on Space Vector Modulation With Adaptive Stator Flux Observer for Induction Motors. IEEE Transactions on Magnetics 46(8), 2010, 3133–3136.
  Google Scholar