Keywords
field-oriented control
robustness
comparative investigation
full-order flux vector observer
energy efficiency
static and dynamic performance асинхронний двигун
векторне керування
робастність
порівняльне тестування
спостерігач вектора потокозчеплення повного порядку
енергоефективність
статичні і динамічні характеристики
How to Cite
Abstract
Vector-controlled induction electrical drives are one of the main types of modern AC electrical drives due to the well-known advantages of induction motors. Recent years have been marked by a renewed interest in the further development of IM control methods due to the existing limitations on the use of rare-earth materials in the manufacturing of permanent magnets synchronous motors. A full-scale study of the dynamic and static characteristics of induction motors field-oriented control systems, as well as their comparative analysis with existing analogues, is an important and mandatory stage in the modern AC electrical drives design. Since IM field-oriented control systems are essentially nonlinear multi-dimensional systems with a partially measured state-space vector, there are no general standard methods for design and analysis, including the dynamic and static characteristics investigation under parametric disturbances. Control algorithms are designed based on various conceptual approaches, and the same applies to the research methods of the closed-loop systems robustness properties. The literature offers a large number of both theoretically proven and practical solutions, which use different sets of tests and different criteria for evaluating effectiveness, making their comparative analysis virtually impossible. A systematic approach to comparative testing and analysis of control quality and robustness indicators of field-oriented control systems under disturbance conditions in the form of active rotor resistance variations is proposed. It can be considered as a component of a general testing platform for vector-controlled electrical drives. A comparative study of a class of systems with indirect and direct field orientation, based on the concept of improved (robustified) vector control of IM drives, demonstrates a significant increase in the robustness properties of the flux vector regulation, both in terms of amplitude and angular position. In turn, it compensates for the negative impact of active rotor resistance variations on dynamic control processes and the efficiency of electromechanical energy conversion processes. References 21, figures 6.
References
1. Bose B. Power electronics and motor drives: Advances and trends. Academic Press, 2020. 1088 p. DOI: https://doi.org/10.1016/C2019-0-02032-8.
2. Abu-Rub H., Iqbal A., Guzinski J. High performance control of AC drives with MatLab/Simulink. IEEE Press: John Wiley and Sons, 2021. 482 p. DOI: https://doi.org/10.1002/9781119969242.
3. Chiasson J. Modelling and high performance control of electric machines. John Willey & Sons, 2005. 709 p. DOI: https://doi.org/10.1002/0471722359.
4. Krishnan R., Doran F.C. Study of parameter sensitivity in high-performance inverter-fed induction motor drive systems. IEEE Transactions on Industry Applications. 1987. Vol. IA-23. No 4. Pp. 623–635. DOI: https://doi.org/10.1109/TIA.1987.4504960.
5. Krishnan R., Bharadwaj A.S. A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems. IEEE Transactions on Power Electronics. 1991. Vol. 6. No 4. Pp. 695–703. DOI: https://doi.org/10.1109/63.97770.
6. Jansen P.L., Lorenz R.D. A physically insightful approach to the design and accuracy assessment of flux observers for field oriented induction machine drives. IEEE Transactions on Industry Applications. 1994. Vol. 30. No 1. Pp. 101–110. DOI: https://doi.org/10.1109/28.273627.
7. Kovbasa S.N. Robustness investigation of magnetic flux observers for induction motor. Nauchnye trudy Kremenchugskogo gosudarstvennogo politekhnicheskogo universiteta. 2001. No 1. Pp. 87–92. URL: https://ela.kpi.ua/handle/123456789/38976. (accessed at 01.08.2025) (Rus)
8. Han Y., Kim H., Kim H., Lee K. Dual MRAS for robust rotor time constant compensation in IFOC IM drives. IEEE Transactions on Energy Conversion. 2024. Vol. 39. No 3. Pp. 1983–1993. DOI: https://doi.org/10.1109/TEC.2024.3361453.
9. Peresada S., Tonielli A., Morici R. High performance indirect field-oriented output feedback control of induction motors. Automatica. 1999. Vol. 35. Issue 6. Pp. 1033–1047. DOI: https://doi.org/10.1016/S0005-1098(99)00003-5.
10. Verrelli C.M., Savoia A., Mengoni M., Marino R., Tomei P., Zarri L. On-line identification of winding resistances and load torque in induction machines. IEEE Transactions on Control Systems Technology. 2014. Vol. 22. No 4. Pp. 1629–1637. DOI: https://doi.org/10.1109/TCST.2013.2285604.
11. Marino R., Peresada S., Tomei P. Global adaptive output feedback control of induction motors with uncertain rotor resistance. IEEE Transactions on Automatic Control. 1999. Vol. 44. No 5. Pp. 967–983. DOI: https://doi.org/10.1109/9.763212.
12. Jadot F., Malrait F., Moreno-Valenzuela J., Sepulchre R. Adaptive regulation of vector-controlled induction motors. IEEE Transactions on Control Systems Technology. 2009. Vol. 17. No 3. Pp. 646–657. DOI: https://doi.org/10.1109/TCST.2008.2003434.
13. Sabzalian M.H., Mohammadzadeh A. A new robust control for induction motors. IETE Journal of Research. 2019. Vol. 68. No 2. Pp. 1168–1176. DOI: https://doi.org/10.1080/03772063.2019.1643265.
14. Khalil H.K., Strangas E.G. Robust speed control of induction motors using position and current measurements. IEEE Transactions on Automatic Control. 1996. Vol. 41. No 8. Pp. 1216–1220. DOI: https://doi.org/10.1109/9.533690.
15. Peresada S.M., Kovbasa S.M., Statsenko O.V., Serhiienko O.V. Direct speed-flux vector control of induction motors: controller design and experimental robustness evaluation. Applied Aspects of Information Technology. 2022. Vol. 5. No 3. Pp. 217–227. DOI: https://doi.org/10.15276/aait.05.2022.15.
16. Accetta A., Alonge F., Cirrincione M., D’Ippolito F., Pucci M., Rabbeni R., Sferlazza A. Robust control for high performance induction motor drives based on partial state-feedback linearization. IEEE Transactions on Industry Applications. 2019. Vol. 55. No 1. Pp. 490–503. DOI: https://doi.org/10.1109/TIA.2018.2869112.
17. Peresada S., Tilli A., Tonielli A. Theoretical and experimental comparison of indirect field-oriented controllers for induction motors. IEEE Transactions on Power Electronics. 2003. Vol. 18. No 1. Pp. 151–163. DOI: https://doi.org/10.1109/TPEL.2002.807123.
18. Verghese G.C., Sanders S.R. Observers for flux estimation in induction machines. IEEE Transactions on Industrial Electronics. 1988. Vol. 35. No 1. Pp. 85–94. DOI: https://doi.org/10.1109/41.3067.
19. Peresada S.M., Kovbasa S.N. Generalized algorithm of a direct vector control of an asynchronous motor. Tekhnichna elektrodynamika. 2002. No 4. Pp. 17–22. (Rus)
20. Marino R., Tomei P., Verrelli C.M. Induction motor control design. Springer, 2010. 351 p. DOI: https://doi.org/10.1007/978-1-84996-284-1.
21. Peresada S.M., Kovbasa S.M., Krasnoshapka N.D. Indirect vector control of induction motors with robustness and adaptation properties to active rotor resistance variations: monograph. Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, 2020. 174 p. URL: https://ela.kpi.ua/handle/123456789/44255. (Ukr) (accessed at 01.08.2025).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2026 Tekhnichna Elektrodynamika