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http://dx.doi.org/10.6113/JPE.2019.19.3.751

Simplified Rotor and Stator Resistance Estimation Method Based on Direct Rotor Flux Identification  

Wang, Mingyu (Automotive Engineering College, Harbin Institute of Technology)
Wang, Dafang (Automotive Engineering College, Harbin Institute of Technology)
Dong, Guanglin (Automotive Engineering College, Harbin Institute of Technology)
Wei, Hui (Automotive Engineering College, Harbin Institute of Technology)
Liang, Xiu (Automotive Engineering College, Harbin Institute of Technology)
Xu, Zexu (Automotive Engineering College, Harbin Institute of Technology)
Publication Information
Journal of Power Electronics / v.19, no.3, 2019 , pp. 751-760 More about this Journal
Abstract
Since parameter mismatch seriously impacts the efficiency and stability of induction motor drives, it is important to accurately estimate the rotor and stator resistance. This paper introduces a method to directly calculate the rotor flux that is independent of stator and rotor resistance and electrical angle. It is based on obtaining the rotor and stator resistance using the model reference adaptive system (MRAS) method. The method has a lower computation burden and less adaptation time when compared with other rotor resistance estimation methods. This paper builds three coordinate frames to analyze the rotor flux error and rotor resistance error. A number of implementation issues are also considered.
Keywords
MRAS; Induction motor; Reactive power; Rotor flux estimation; Rotor resistance; Stator resistance;
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1 R. Krishnan and A. S. Bharadwaj, “A review of parameter sensitivity and adaptation in indirect vector controlled induction motor drive systems,” IET Power Electron, Vol. 6, No. 4, pp. 695-703, Oct. 1991.   DOI
2 K. B. Nordin and D. W. Novotny, “The influence of motor parameter deviations in feedforward field orientation drive systems,” IEEE Trans. Ind. Appl, Vol. 21, No. 4, pp. 1009-1015, Jul./Aug. 1985.
3 R. Krishnan and F. C. Doran, "Study of parameter sensitivity in high-performance inverter-fed induction motor drive systems," IEEE Trans. Ind. Appl, Vol.23, No.4, pp. 623-635, Jul./Aug. 1987.
4 D. Chatterjee, “Impact of core losses on parameter identification of three-phase induction machines,” IET Power Electron., Vol. 7, No. 12, pp. 3126-3136, Dec. 2014.   DOI
5 C. Korlinchak and M. Comanescu, "Sensorless field orientation of an induction motor drive using a timevarying observer," IET Electr. Power Appl, Vol. 55, No.3, pp. 353-361, Jul. 2012.
6 K. Wang, B. Chen, G. T. Shen, W. X. Yao, K. Lee, and Z. Y. Lu, “Online updating of rotor time constant based on combined voltage and current mode flux observer for speed-sensorless AC drives,” IEEE Trans. Ind. Electron, Vol. 61, No. 9, pp. 4583-4593, Sep. 2014.   DOI
7 M. W. Deger, J. M. Guerrero, and F. Briz, “Slip-gain estimation in field-orientation-controlled induction machines using the system transient response,” IEEE Trans. Ind. Appl, Vol. 42, No. 3, pp. 702-711, May/Jun. 2006.   DOI
8 S. Wang, V. Dinavahi, and J. Xiao, “Multi-rate real-time model-based parameter estimation and state identification for induction motors,” IET Electr. Power Appl., Vol. 7, No. 1, pp. 77-86, Jan. 2013.   DOI
9 J. A. Riveros, A. G. Yepes, and F. Barrero, “Parameter identification of multiphase induction machines with distributed windings - Part 2: Time-domain techniques,” IEEE Trans. Energy Convers., Vol. 27, No. 4, pp. 1067-1077, Dec. 2012.   DOI
10 V. R. Jevremovic, V. Vasic, D. P. Marcetic, and B. Jeftenic, “Speed-sensorless control of induction motor based on reactive power with rotor time constant identification,” IET Electr. Power Appl., Vol. 4, No. 6, pp. 462-473, Jul. 2010.   DOI
11 K. Tungpimolrut, F.-Z. Peng, and T. Fukao, “Robust vector control of induction motor without using stator and rotor circuit time constants,” IEEE Trans. Ind. Appl., Vol. 30, No. 5, pp. 1241-1246, Sep./Oct. 1994.   DOI
12 P. Cao, X. Zhang, and S. Yang, “A unified model based analysis of MRAS for online rotor time constant estimation in induction motor drive,” IEEE Trans. Ind. Electron, Vol. 64, No. 6, pp. 4361-4371, Jun. 2017.   DOI
13 M. Dal, R. Teodorescu and F. Blaabjerg, “Complex state variable- and disturbance observer-based current controllers for AC drives: an experimental comparison,” IET Power Electron, Vol. 6, No. 9, pp. 1792-1802, Nov. 2013.   DOI
14 S. Maiti, C. Chakraborty, and Y. Hori, “Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power,” IEEE Trans. Ind. Electron., Vol. 5, No. 2, pp. 594-600, Feb. 2008.
15 X. Yu, M. W. Dunnigan, and B. W. Williams, “A novel rotor resistance identification method for an indirect rotor flux-orientated controlled induction machine system,” IET Power Electron., Vol. 17, No. 3, pp. 353-364, May 2002.   DOI
16 F. L. Mapelli, A. Bezzolato, and D. Tarsitano, "A rotor resistance MRAS estimator for induction motor traction drive for electrical vehicles," in Proc. ICEM, Marseille, pp. 823-829, Sep. 2012.
17 L. Garces, "Parameter adaption for the speed-controlled static AC drive with a squirrel-cage induction motor," IEEE Trans. Ind. Appl., Vol. IA-16, No. 2, pp.173-178, Mar./Apr. 1980.   DOI
18 M. S. N. Said and M. E. H. Benbouzid, “Induction motors direct field oriented control with robust on-line tuning of rotor resistance,” IEEE Trans. Energy Convers., Vol. 14, No. 4, pp. 1038-1042, Dec. 1999.   DOI
19 J. Kan, K. Zhang, and Z. Wang, “Indirect vector control with simplified rotor resistance adaptation for induction machines,” IET Power Electron., Vol. 8, No. 7, pp. 1284-1294, Jul. 2015.   DOI
20 H. Bin, Q. Wen, and L. Hai, "A novel on-line rotor resistance estimation method for vector controlled induction motor drive," in Proc. Conf. Rec. IEEE IPEMC Conf, Vol. 2, pp. 137-147, Aug. 1992.
21 D. Wang, B. Yang, C. Zhu, C. Zhou, and J. Qi, “A feedbxack-type phase voltage compensation strategy based on phase current reconstruction for ACIM drives,” IEEE Trans. Power Electron., Vol. 29, No. 9, pp. 5031-5043, Sep. 2014.   DOI