XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 189-192)
АУТОР(И) / AUTHOR(S): Nebojša Mitrović 
, Filip Filipović , Bojan Banković , Vojkan Kostić , Saša Štatkić , Jovan Vukašinović
Download Full Pdf 
DOI: 10.46793/SAUM24.198M
САЖЕТАК / ABSTRACT:
Motor parameters are crucial for the efficient implementation of modern control algorithms, particularly for vector-controlled drives. Consequently, nearly all manufacturers of frequency converters provide the option for automatic determination of motor parameters. In the case of scalar control methods, this algorithm is relatively simple, focusing on the determination of the resistance and stator inductance of the induction motor. In contrast, vector control methods require the identification of all parameters of the equivalent circuit. Typically, the self-commissioning function is activated, allowing the converter to autonomously determine the motor parameters according to the manufacturer’s defined algorithm. This paper analyzes the identification methods used by three renowned manufacturers of frequency converters. The results obtained were compared, revealing significant differences in parameter values. Based on laboratory measurements conducted under identical conditions for all three converters, parameters were identified through no-load and short-circuit experiments at various frequencies. Numerous experiments yielded frequency-dependent parameter relationships, which were then compared with results from the self-commissioning tests. The findings elucidate the reasons for the observed discrepancies and indicate that the accuracy of the self-commissioning algorithm may be questionable.
КЉУЧНЕ РЕЧИ / KEYWORDS:
induction motor, parameter identification, self-commissioning, frequency converter
ПРОЈЕКАТ/ ACKNOWLEDGEMENT:
This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia [grant number 451-03-65/2024-03/200102].
ЛИТЕРАТУРА / REFERENCES:
- M. Trzynadlowski, Control of Induction Motors, Academic Press, 2001.
- D. Doncker, D. W. J. Pulle and A. Veltman, Advanced Electrical Drives – Analysis, Modeling, Control, Springer, 2011.
- A. Odhano, P. Pescetto, H. A. A. Awan, M. Hinkkanen, G. Pellegrino and R. Bojoi, „Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review,“ in IEEE Transactions on Power Electronics, vol. 34, no. 4, pp. 3603-3614, April 2019, doi: 10.1109/TPEL.2018.2856589.
- Tang, Jing, Yongheng Yang, Frede Blaabjerg, Jie Chen, Lijun Diao, and Zhigang Liu. „Parameter identification of inverter-fed induction motors: A review.“ Energies11, no. 9 , Aug. 2018, p.2194.
- Zaky, M.S., Khater M.M., Shokralla S.S., Yasin H.A., Wide-Speed-Range Estimation with Online Parameter Identification Schemes of Sensorless Induction Motor Drive. IEEE Trans. Ind. Electron. 2009, 56, pp.1699–1707.
- Lee, S.H.; Yoo, A.; Lee, H.-J.; Yoon, Y.-D.; Han, B.-M. Identification of Induction Motor Parameters at Standstill Based on Integral Calculation. IEEE Trans. Ind. Appl. 2017, 53.
- Zheng, J.; Wang, Y.; Qin, X.; Zhang, X. An offline parameter identification method of induction motor. In Proceedings of the 2008 7th World Congress on Intelligent Control and Automation, Chongqing, China, 25–27 June 2008; pp. 8898–8901.
- Luo, H.; Liu, J.; Wan, S. Off-line Identification of Induction Motor Parameters. Electr. Drive 2006, 8, 16–21.
- Vukašinović, M. Milovanović, N. Arsić, J. Radosavljević and S. Štatkić, „Parameters estimation of double-cage induction motors using a hybrid metaheuristic algorithm,“ 2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, 2022, pp. 1-6,
- A. Odhano, A. Cavagnino, R. Bojoi and A. Tenconi, „Induction motor magnetizing characteristic identification at standstill with single-phase tests conducted through the inverter,“ 2015 IEEE International Electric Machines & Drives Conference (IEMDC), Coeur d’Alene, ID, USA, 2015, pp. 960-966.