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Review of methods for energy-efficiency improvement in induction machines

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Category: Content №1 2020

Last Updated on 09 April 2020

Published on 10 March 2020

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Authors:

G.G.Diachenko, orcid.org/0000-0001-9105-1951, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.

O.O.Aziukovskyi, Cand. Sc. (Tech.), Assoc. Prof., orcid.org/0000-0003-1901-4333, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (1):80-88
https://doi.org/10.33271/nvngu/2020-1/080

 повний текст / full article

Abstract:

Purpose.To present a comprehensive analysis of domestic and foreign experience regarding the existing optimization techniques in the problems of the power losses minimization in electromechanical systems with an induction machine for reduction of the total electricity consumed from the grid.

Methodology. A detailed study of the developments in the field of efficiency optimization of three-phase induction machines through optimal control and design techniques has been done. Special attention is given to vector-controlled systems. Sustainable development of a few trends was traced in this domain. The reference value of the field-generating current is an additional degree of freedom in the mathematical model of the investigated system. It influences the magnetic flux linkage dynamics and mechanical torque equations. Hence, the implemented model allows for a comparative analysis of different approaches to ensure minimum energy consumption with an adequate intensity of transients.

Findings. Among numerous control techniques, simple state control, loss model-based control and search control efficiency optimization algorithms have been highlighted. The simulation example on efficiency optimization of an asynchronous machine was performed in the framework of an indirect field-oriented control system considering the stepped trajectory of load torque, which is possible as a result of mechanical perturbation or when the motor performs complex speed profiles or counteracts shock loads.

Originality. The rigorous review indicates that existing optimization algorithms in conventional still can be used for induction motor drive applications. However, some existing problems in achieving the best control were not summarized. Accordingly, for the first time, this review provides suggestions for the future research and development of dynamic energy-efficient control in induction motors.

Practical value. The three-phase induction motor drives are a nonlinear system that is tough to describe precisely theoretically due to their sudden changes in conditions of operation mode and parameter variation. Thus, advanced algorithms are needed to enhance their performance in addition to effective hardware solutions. The suggested alternative solution will hopefully lead to increased efforts toward the development of advanced control systems for future applications.

References.

1. Hannan, M. A., Ali, J. A., Mohamed, A., & Hussain, A. (2018). Optimization techniques to enhance the performance of induction motor drives: A review. Renewable and Sustainable Energy Reviews, 81, 1611-1626. https://doi.org/10.1016/j.rser.2017.05.240.

2. Eroglu, I., Horlbeck, L., Lienkamp, M., & Hackl, C. M. (2017). Increasing the overall efficiency of induction motors for BEV by using the overload potential through. 2017 IEEE International Electric Machines and Drives Conference (IEMDC), (pp. 1-7). Miami, FL, USA. https://doi.org/10.1109/IEMDC.2017.8002040.

3. Bazzi, A. M., & Krein, P. T. (2010). Review of methods for real-time loss minimization in induction machines. IEEE Transactions on Industry Applications, 46(6), 2319-2328. https://doi.org/10.1109/TIA.2010.2070475.

4. Raj, C. T., Srivastava, S. P., & Agarwal, P. (2009). Energy efficient control of three-phase induction motor ‒ a review. International Journal of Computer and Electrical Engineering, 1(1), 61-70. https://doi.org/10.7763/IJCEE.2009.V1.10.

5. Lin, F. C., & Yang, S. M. (2003). On-line tuning of an efficiency-optimized vector controlled induction motor drive. Tamkang Journal of Science and Engineering, 6(2), 103-110.

6. Takahashi, I., & Noguchi, T. (1986). A new quick-response and high-efficiency control strategy of an induction motor. IEEE Transactions on Industry Applications, IA-22(5), 820-827. https://doi.org/10.1109/TIA.1986.4504799.

7. Tolochko, O., Rozkaryaka, P., & Chekavskyy, G. (2011). Optimization of power consumption of positional asynchronous electric drive with vector control. Scientific Papers of Donetsk National Technical University, 11(186), 396-400. Retrieved from http://ea.donntu.org/ handle/123456789/8080.

8. Tolochko, O., & Sopiha, M. (2017). Heat loss minimization field control of motionless induction motors in pause of intermittent duty. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), (pp. 442-447). Kyiv. https://doi.org/10.1109/UKRCON.2017.8100525.

9. Beshta, O. S. (2012). Electric drives adjustment for improvement of energy efficiency of technological processes. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 98-107.

10. Anuradha, S., & Amarnadh Reddy, N. (2016). Comparative analysis of speed control of induction motor by DTC over scalar control technique. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 5(11), 8328-8337. https://doi.org/10.15662/IJAREEIE.2016.0511004.

11. Andersen, H. R., & Pedersen, J. K. (1996). Low cost energy optimized control strategy for a variable speed three phase induction motor. PESC Record, 27 ^th Annual IEEE Power Electronics Specialists  Conference, 1, (pp. 920-924). Italy. https://doi.org/10.1109/PESC.1996.548691.

12. Abrahamsen, F. (2002). Energy optimal control of induction motor drives. In M. P. Kazmierkowski, R. Krishnan, & F. Blaabjerg (Eds.), Control in Power Electronics: Selected Problems, (pp. 209-224). San Diego, Amsterdam: Academic Press. Retrieved from https://vbn.aau.dk/en/publications/control-in-power-electronics-selected-problems.

13. Jian, T. W., Schmitz, N. L., & Novotny, D. W. (1983). Cha­racteristic induction motor slip values for variable part load performance optimization. IEEE Transactions on Power Apparatus and Systems, PAS-102(1), 38-46. https://doi.org/10.1109/TPAS.1983.317995.

14. Kim, H. G., Sul, S. K., & Park, M. H. (1984). Optimal efficiency drive of a current source inverter fed induction motor by flux control. IEEE Transactions on Industry Applications, IA-20(6), 1453-1459. https://doi.org/10.1109/TIA.1984.4504628.

15. Cacciato, M., Consoli, A., Scarcella, G., Scelba, G., & Testa, A. (2006). Efficiency optimization techniques via constant optimal slip control of induction motor drives. International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006, (pp. 33-38). Taormina, Italy. https://doi.org/10.1109/SPEEDAM.2006.1649740.

16. Wasynczuk, O., Sudhoff, S. D., Corzine, K. A., Ti­che­nor, J. L., Krause, P. C., Hansen, I. G., & Taylor, L. M. (1998). A maximum torque per ampere control strategy for induction motor drives. IEEE Transactions on Energy Conversion, 13(2), 163-169. https://doi.org/10.1109/60.678980.

17. Kwon, C., & Sudhoff, S. D. (2005). An improved maximum torque per amp control strategy for induction machine drives. Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005, 2, (pp. 740-745). Austin, TX. https://doi.org/10.1109/APEC.2005.1453052.

18. Mosaddegh, H., Zarchi, H. A., & Arab Markadeh, G. (2019). Stator flux oriented control of brushless doubly fed induction motor drives based on maximum torque per total ampere strategy. 2019. 10 ^th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), (pp. 84-89). Shiraz, Iran. https://doi.org/10.1109/PEDSTC.2019.8697845.

19. Matsuse, K., Yoshizumi, T., Katsuta, S., & Taniguchi, S. (1999). High-response flux control of direct-field-oriented induction motor with high efficiency taking core loss into account. IEEE Transactions on Industry Applications, 35(1), 62-69. https://doi.org/10.1109/28.740846.

20. Stumper, J., Dötlinger, A., & Kennel, R. (2013). Loss minimization of induction machines in dynamic operation. IEEE Transactions on Energy Conversion, 28(3), 726-735. https://doi.org/10.1109/TEC.2013.2262048.

21. Borisevich, A., & Schullerus, G. (2016). Energy efficient control of an induction machine under torque step changes. IEEE Transactions on Energy Conversion, 31(4), 1295-1303. https://doi.org/10.1109/TEC.2016.2561307.

22. Hu, D., Xu, W., Dian, R., Liu, Y., & Zhu, J. (2017). Dynamic loss minimization control of linear induction machine. 2017 IEEE Energy Conversion Congress and Exposition (ECCE), (pp. 3598-3603). Cincinnati, OH, USA. https://doi.org/10.1109/ECCE.2017.8096639.

23. Dong, G., & Ojo, O. (2006). Efficiency optimizing control of induction motor using natural variables. IEEE Transactions on Industrial Electronics, 53(6), 1791-1798. https://doi.org/10.1109/TIE.2006.885117.

24. Haddoun, A., Benbouzid, M., Diallo, D., Abdessemed, R., Ghouili, J., & Srairi, K. (2007). A loss-minimization DTC scheme for EV induction motors. IEEE Transactions on Vehicular Technology, 56(1), 81-88. https://doi.org/10.1109/TVT.2006.889562.

25. Kumar, N., Raj Chelliah, T., & Srivastava, S. (2015). Adaptive control schemes for improving dynamic performance of efficiency-optimized induction motor drives. ISA transactions, 57, 301-310. https://doi.org/10.1016/j.isatra.2015.02.011.

26. Vukosavic, S. N., & Levi, E. (2003b). Robust DSP-based efficiency optimization of a variable speed induction motor drive. IEEE Transactions on Industrial Electronics, 50(3), 560-570. https://doi.org/10.1109/TIE.2003.812468.

27. Qu, Z., Ranta, M., Hinkkanen, M., & Luomi, J. (2012). Loss-minimizing flux level control of induction motor drives. IEEE Transactions on Industry Applications, 48(3), 952-961. https://doi.org/10.1109/TIA.2012.2190818.

28. Diachenko, G., & Schullerus, G. (2015). Simple dynamic energy efficient field oriented control in induction motors. 18 ^th International Symposium on Power Electronics. Novi Sad, Republic of Serbia. Retrieved from http://www.stari.ftn.uns.ac.rs/dee/papers/Ee2015/index.html.

29. Schubert, M., Koschik, S., & De Doncker, R. W. (2013). Fast optimal efficiency flux control for induction motor drives in electric vehicles considering core losses, main flux saturation and rotor deep bar effect. 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), (pp. 811-816). Long Beach, CA, USA. https://doi.org/10.1109/APEC.2013.6520303.

30. Echeikh, H., Trabelsi, R., Iqbal, A., Bianchi, N., & Mimouni, M. (2016). Comparative study between the rotor flux oriented control and non-linear backstepping control of a five-phase induction motor drive – an experimental validation. IET Power Electronics, 9(13), 2510-2521. https://doi.org/10.1049/iet-pel.2015.0726.

31. Perdukova, D., & Fedor, P. (2014). A model-based fuzzy control of an induction motor. Advances in Electrical and Electronic Engineering, 12(5), 427-434. https://doi.org/10.15598/aeee.v12i5.1229.

32. Lozynskyy, A., & Demkiv, L. (2016). Application of dynamic systems family for synthesis of fuzzy control with account of non-linearities. Advances in Electrical and Electronic Engineering, 14(5), 543-550. https://doi.org/10.15598/aeee.v14i5.1717.

33. Demkiv, L., Lozynskyy, A., Lozynskyy, O., & Demkiv, I. (2017). A new approach to dynamical system’s fuzzy controller synthesis: Application of the unstable subsystem. 2017 International Conference on Modern Electrical and Energy Systems (MEES), (pp. 84-87). Kremenchuk, Ukraine. https://doi.org/10.1109/MEES.2017.8248959.

34. Kamel, T., Abdelkader, D., Said, B., & Iqbal, A. (2018). Direct torque control based on artificial neural network of a five-phase PMSM drive. In M. Hatti (Ed.), Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, 35, (pp. 316-325). Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_33.

35. Vukosavic, S. N., & Levi, E. (2003). A method for transient torque response improvement in optimum efficiency induction motor drives. IEEE Transactions on Energy Conversion, 18(4), 484-493. https://doi.org/10.1109/TEC.2003.816599.

36. Chakraborty, C., Ta, M. C., Uchida, T., & Hori, Y. (2002). Fast search controllers for efficiency maximization of induction motor drives based on DC link power measurement. Proceedings of the Power Conversion Conference-Osaka 2002 (Cat. No.02TH8579), 2, (pp. 402-408). Osaka, Japan. https://doi.org/10.1109/PCC.2002.997552.

37. Chourasia, A., Salunke, S., & Saxena, V. (2013). Efficiency optimization of three phase induction motor by slip compensation: a review. International Journal of Electronics and Electrical Engineering, 1(4), 308-314. https://doi.org/10.12720/ijeee.1.4.308-314.

38. Ali, A. J., Farej, Z., & Sultan, N. (2019). Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive. International Journal of Power Electronics and Drive Systems (IJPEDS), 10(1), 117-127. https://doi.org/10.11591/ijpeds.v10.i1.pp117-127.

39. Diachenko, G., Aziukovskyi, O., Rogoza, M., & Yaki­mets, S. (2019). Optimal field-oriented control of an induction motor for loss minimization in dynamic operation. 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES), (pp. 94-97). Kremenchuk, Ukraine. https://doi.org/10.1109/MEES.2019.8896455.

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