DOI QR코드

DOI QR Code

Evaluation of Back-EMF Estimators for Sensorless Control of Permanent Magnet Synchronous Motors

  • Lee, Kwang-Woon (Dept. of Electronic Eng., Mokpo National Maritime University) ;
  • Ha, Jung-Ik (Dept. of Electrical and Computer Eng., Seoul National University)
  • Received : 2012.01.03
  • Published : 2012.07.20

Abstract

This paper presents a comparative study of position sensorless control schemes based on back-electromotive force (back-EMF) estimation in permanent magnet synchronous motors (PMSM). The characteristics of the estimated back-EMF signals are analyzed using various mathematical models of a PMSM. The transfer functions of the estimators, based on the extended EMF model in the rotor reference frame, are derived to show their similarity. They are then used for the analysis of the effects of both the motor parameter variations and the voltage errors due to inverter nonlinearity on the accuracy of the back-EMF estimation. The differences between a phase-locked-loop (PLL) type estimator and a Luenberger observer type estimator, generally used for extracting rotor speed and position information from estimated back-EMF signals, are also examined. An experimental study with a 250-W interior-permanent-magnet machine has been performed to validate the analyses.

Keywords

References

  1. P. L. Jansen and R. D. Lorenz, "Transducerless position and velocity estimation in induction and salient AC machines," IEEE Trans. Ind. Applicat., Vol. 31, No. 2, pp. 240-247, Mar./Apr. 1995. https://doi.org/10.1109/28.370269
  2. M. Corley and R. Lorenz, "Rotor position and velocity estimation for salient-pole permanent magnet synchronous machine at standstill and high speed," IEEE Trans. Ind. Applicat., Vol. 34, No. 4, pp. 784-789, July/Aug. 1998. https://doi.org/10.1109/28.703973
  3. M. W. Degner and R. D. Lorenz, "Using multiple saliencies for the estimation of flux, position, and velocity in AC machines," IEEE Trans. Ind. Applicat., Vol. 34, No. 5, pp. 1097-1104, Sep./Oct. 1998. https://doi.org/10.1109/28.720450
  4. J. Ha, K. Ide, T. Sawa, and S. Sul, "Sensorless rotor position estimation of an interior permanent-magnet motor from initial states," IEEE Trans. Ind. Applicat., Vol. 39, No. 3, pp. 761-767, May/Jun. 2003. https://doi.org/10.1109/TIA.2003.811781
  5. N. Matsui, T. Takeshita, and K. Yasuda, "A new sensorless drive of brushless DC motor," in Proc. IECON '92, pp. 430-435, 1992.
  6. N. Matsui, "Sensorless PM brushless DC motor drives," IEEE Trans. Ind. Electron., Vol. 43, No. 2, pp. 300-308, Apr. 1996. https://doi.org/10.1109/41.491354
  7. Z. Chen, M. Tomita, S. Ichikawa, S. Doki, and S. Okuma, "Sensorless control of interior permanent magnet synchronous motor by estimation of an extended electromotive force," in Conf. Rec. IEEE-IAS Annu. Meeting, Vol. 3, pp. 1814-1819, Oct. 2000
  8. H. Kim, M. C. Harke, and R. D. Lorenz, "Sensorless control of interior permanent-magnet machine drives with zero-phase lag position estimation," IEEE Trans. Ind. Applicat., Vol. 39, No. 6, pp. 1726-1733, Nov./Dec. 2003. https://doi.org/10.1109/TIA.2003.818966
  9. S. Morimoto, K. Kawamoto, M. Sanada, and Y. Takeda, "Sensorless control strategy for salient-pole PMSM based on extended EMF in rotating reference frame," IEEE Trans. on Ind. Applicat., Vol. 38, No. 4, pp. 1054-1061, Jul./Aug. 2002. https://doi.org/10.1109/TIA.2002.800777
  10. R. W. Hejny, and R. D. Lorenz, "Evaluating the practical low-speed limits for back-EMF tracking-based sensorless speed control using drive stiffness as a key metric," IEEE Trans. on Ind. Applicat., vol. 47, pp. 1337-1343, May/Jun. 2011. https://doi.org/10.1109/TIA.2011.2126013
  11. Y. Inoue, Y. Kawaguchi, S. Morimoto, and M. Sanada, "Performance improvement of sensorless IPMSM drives in a low-speed region using online parameter identification," IEEE Trans. Ind. Applicat., Vol. 47, No. 2, pp. 798-804, Mar./Apr. 2011. https://doi.org/10.1109/TIA.2010.2101994
  12. Y. Inoue, K. Yamada, S. Morimoto, and M. Sanada, "Effectiveness of voltage error compensation and parameter identification for model based sensorless control of IPMSM," IEEE Trans. Ind. Applicat., Vol. 45, No. 1, pp. 213-221, Jan./Feb. 2009. https://doi.org/10.1109/TIA.2008.2009617
  13. S. Ichikawa, M. Tomita, S. Doki, and S. Okuma, "Sensorless control of synchronous reluctance motors based on extended EMF models considering magnetic saturation with online parameter identification," IEEE Trans. Ind. Applicat.., Vol. 42, No. 5, pp. 1264-1274, Sep./Oct. 2006. https://doi.org/10.1109/TIA.2006.880848
  14. M. Tomita, T. Senjyu, S. Doki, and S. Okuma, "New sensorless control for brushless DC motors using disturbance observers and adaptive velocity estimations," IEEE Trans. Ind. Electron., Vol. 45, No. 2, pp. 274-282, Apr. 1998. https://doi.org/10.1109/41.681226
  15. J. Kim and S. Sul, "High performance PMSM drives without rotational position sensors using reduced order observer," in Conf. Rec. IEEE-IAS Annu. Meeting, pp. 75-82, 1995.
  16. B.-H. Bae, S.-K. Sul, J.-H. Kwon, and J.-S. Byeon, "Implementation of sensorless vector control for super-high-speed PMSM of turbo-compressor," IEEE Trans. on Ind. Applicat., Vol. 39, No. 3, pp. 811-818, May/June, 2003. https://doi.org/10.1109/TIA.2003.810658
  17. S.-K. Sul, Control of Electric Machine Drive Systems, John Wiley & Sons, New Jersey, 2011.

Cited by

  1. Flying start and sensorless control of permanent magnet wind power generator using induced voltage measurement and phase-locked loop vol.152, 2017, https://doi.org/10.1016/j.epsr.2017.08.002
  2. Simple sensorless algorithm for interior permanent magnet synchronous motors based on high-frequency voltage injection method vol.8, pp.2, 2014, https://doi.org/10.1049/iet-epa.2013.0221
  3. Accuracy Enhancement of Parameter Estimation and Sensorless Algorithms Based on Current Shaping vol.16, pp.1, 2016, https://doi.org/10.6113/JPE.2016.16.1.1
  4. Influence of Resistance Error to the Bandwidth of Back-EMF Estimation based SMPMSM Sensorless Drives vol.21, pp.5, 2016, https://doi.org/10.6113/TKPE.2016.21.5.418
  5. Compensation of Periodic Magnetic Saturation Effects for the High-Speed Sensorless Control of PMSM Driven by Inverter Output Power Control-based PFC Strategy vol.15, pp.5, 2015, https://doi.org/10.6113/JPE.2015.15.5.1264
  6. A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors vol.10, pp.8, 2017, https://doi.org/10.3390/en10081160
  7. Sensorless Vector Control of Induction Motors for Wind Energy Applications Using MRAS and ASO vol.9, pp.3, 2014, https://doi.org/10.5370/JEET.2014.9.3.873
  8. Pulse Counting Sensorless Detection of the Shaft Speed and Position of DC Motor Based Electromechanical Actuators vol.14, pp.5, 2014, https://doi.org/10.6113/JPE.2014.14.5.957
  9. Sensorless Control Method for PMSM Based on Frequency-Adaptive Disturbance Observer vol.2, pp.2, 2014, https://doi.org/10.1109/JESTPE.2013.2296596
  10. Load disturbance observer-based control method for sensorless PMSM drive vol.10, pp.8, 2016, https://doi.org/10.1049/iet-epa.2015.0550
  11. Analog Filtering Method for Sensorless AC Machine Control With Carrier-Frequency Signal Injection vol.62, pp.9, 2015, https://doi.org/10.1109/TIE.2015.2410257
  12. Model-Based Sensorless Control of an IPMSM With Enhanced Robustness Against Load Disturbances Based on Position and Speed Estimator Using a Speed Error vol.54, pp.2, 2018, https://doi.org/10.1109/TIA.2017.2777390