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Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM
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  • Journal title : Journal of Power Electronics
  • Volume 16, Issue 3,  2016, pp.1004-1011
  • Publisher : The Korean Institute of Power Electronics
  • DOI : 10.6113/JPE.2016.16.3.1004
 Title & Authors
Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM
Li, Yonggui; Wang, Shuang; Ji, Hua; Shi, Jian; Huang, Surong;
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The inaccurate model parameters in the predictive current control of surface-mounted permanent magnet synchronous motor (SMPMSM) affect the current dynamic response and steady-state error. This paper presents a model parameter correction algorithm based on the relationship between the errors of model parameters and the static errors of dq-axis current. In this correction algorithm, the errors of inductance and flux are corrected in two steps. Resistance is ignored. First, the proportional relations between inductance and d-axis static current errors are utilized to correct the error of model inductance. Second, the flux is corrected by utilizing the proportional relations between flux and q-axis static current errors under the condition that inductance is corrected. An experimental study with a 100 W SMPMSM is performed to validate the proposed algorithm.
Model parameter;Parameter correction algorithm;Predictive current control;Surface-mounted permanent magnet synchronous motor;
 Cited by
S. Wang, W. J. Zhu, J. Shi, H. Ji, and S. Huang, “A high performance permanent magnet synchronous motor servo system using predictive functional control and kalman filter,” Journal of Power Electronics, Vol. 15, No. 6, pp. 1547-1558, Nov. 2015 crossref(new window)

W. H. Wang and X. Xiao, "A current control for permanent magnet synchronous motors with high dynamic performance," in Proc. the CSEE, Vol. 33, No. 21, pp. 117-123, Jul. 2013.

M. P. Kazmierkowski and L. Malesani, “Current control techniques for three-phase voltage-source PWM converters:a survey,” IEEE Trans. Ind. Electron., Vol. 45, No. 5, pp. 691-703, Oct. 1998. crossref(new window)

M. W. Naouar, E. Monmasson, and A. A. Naassani, “FPGA- based current controllers for AC machine drives – A review,” IEEE Trans. Ind. Electron., Vol. 54, No. 4, pp. 1907-1925, Aug. 2007. crossref(new window)

R. Kennel and A. Linder, "Predictive control of inverter supplied electrical drives," Power Electronics Specialists Conference, PESC. 2000 IEEE 31st Annual, pp. 761-766, 2000.

H. Le-Huy, K. Slimani, and P. Viarouge, “Analysis and implementation of a real-time predictive current controller for permanent-magnet synchronous servo drives,” IEEE Trans. Ind. Electron., Vol. 41, No. 1, pp. 110-117, Feb. 1994. crossref(new window)

J. C. Moreno, J. M. E. Huerta, and R. G. Gil, “A robust predictive current control for three-phase grid-connected inverters,” IEEE Trans. Ind. Electron., Vol. 56, No. 6, pp. 1993-2004, Jun. 2009. crossref(new window)

P. Cortes, M. P. Kazmierkowski, and R. M. Kennel, “Predictive control in power electronics and drives,” IEEE Trans. Ind. Electron., Vol. 55, No. 12, pp. 4312-4324, Dec. 2008. crossref(new window)

G. Cimini, V. Fossi, and G. Ippoliti, "Model predictive control solution for permanent magnet synchronous motors," 39th Annual Conference on IEEE Industrial Electronics (IECON), Vienna, Austria, pp. 5824-5829, 2013.

H. T. Moon, H. S. Kim, and M. J. Youn, “A discrete-time predictive current control for PMSM,” IEEE Trans. Ind. Electron., Vol. 18, No. 1, pp. 464-472, Jan. 2003.

J. Rodríguez, J. Pontt, and C. A. Silva, “Predictive current ontrol of a voltage source inverter,” IEEE Trans. Ind. Electron., Vol. 54, No.1, pp. 495-503, Feb. 2007. crossref(new window)

L. Y. Gao, D. Lu, and G. Z. Zhao, “Current control for PMSM based on model predictive control with automatic differentiation,” Electric Machines and Control, Vol. 16, No. 10, pp. 38-43, Oct. 2012.

F. Morel, X. Lin-Shi, and J. M. Retif, “A comparative study of predictive current control schemes for a permanent magnet synchronous machine drive,” IEEE Trans. Ind. Electron., Vol. 56, No. 7, pp. 2715-2728, Jul. 2009. crossref(new window)

H. J. Wang, D. G. Xu, and M. Yang, "Improved deadbeat predictive current control strategy of permanent magnet motor drives," Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference, Vol. 49, pp. 1260-1264, 2011.

L. Niu, M. Yang, and D. G. Xu, "Predictive current control for Permanent Magnet Synchronous Motor based on deadbeat control," Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on. IEEE, pp. 46-51, 2012.

W. H. Wang and X. Xiao, "Current control method for PMSM with high dynamic performance," Electric Machines & Drives Conference (IEMDC), 2013 IEEE International, pp. 1249-1254, 2013.

G. Wang, M. Yang, L. Niu, X. Gui, and D. Xu, "Improved predictive current control with static current error elimination for permanent magnet synchronous machine," Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE, pp.661-667, 2014.

W. H. Wang and X. Xiao, "Research on predictive control for PMSM based on online parameter identification," IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, IEEE, pp. 1982-1986, 2012.

Q. Xu, Z. C. Jia, and L. R. Li, “Adaptive predictive current control of permanent magnet synchronous motor,” Electric Drive, No. 4, pp. 19-24, Jul. 1997.

A. Imura, T. Takahashi, and M. Fujitsuna, “Improved PMSM model considering flux characteristics for model predictive-based current control,” Ieej Transactions on Electrical & Electronic Engineering, Vol. 10, No. 1, pp. 192-100, Jan. 2015. crossref(new window)

G. Angelone, A. D. Pizzo, and I. Spina, "Model predictive control for PMSM with flux-current nonlinear maps," International Symposium on Power Electronics, Electrical Drives, Automation & Motion, pp. 848-853, 2014.