Advertisement

Pole Placement Design Methodology of Back-EMF Adaptive Observer for Sensorless PMSM Drives

  • Cesar José Volpato FilhoEmail author
  • Rodrigo Padilha Vieira
Article
  • 88 Downloads

Abstract

This paper proposes a gain design methodology for adaptive observers applied to the estimation of rotor speed of permanent magnet synchronous machines (PMSM). First, a disturbance observer is used for estimation of the back-electromotive force (back-EMF) and avoid undesired nonlinearities in the adaptive observer design. The rotor speed is estimated by a back-EMF adaptive observer based on the PMSM linear model in stationary frame. Both feedback and adaptive gains are analyzed considering the full system in state space form. A pole placement technique is used to design the adaptive and feedback gains, and the mathematical behavior of the speed estimator is obtained. The desired pole locations of the observer are discussed aiming the implementation of a sensorless control scheme. Simulation and experimental results are presented to validate the proposed gain design method.

Keywords

Permanent magnet synchronous motor Adaptive observer Adaptive gain design Sensorless control 

Notes

Acknowledgements

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES/PROEX)-Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Projeto 422026/2016-6), the Fundação de Amparo à Pesquisa do Estado do RS (FAPERGS), INCT-GD and by the Programa de Pós-Graduação em Engenharia Elétrica da Universidade Federal de Santa Maria (PPGEE–UFSM).

References

  1. Baratieri, C. L., & Pinheiro, H. (2014). Hybrid orientation for sensorless vector control of nonsinusoidal back-EMF PMSM. In IECON 2014 - 40th annual conference of the ieee industrial electronics society (pp. 621–627).  https://doi.org/10.1109/IECON.2014.7048565.
  2. Bernardes, T., Montagner, V. F., Gründling, H. A., & Pinheiro, H. (2014). Discrete-time sliding mode observer for sensorless vector control of permanent magnet synchronous machine. IEEE Transactions on Industrial Electronics, 61(4), 1679–1691.  https://doi.org/10.1109/TIE.2013.2267700.CrossRefGoogle Scholar
  3. Bhattarai, R., Gurung, N., Thakallapelli, A., & Kamalasadan, S. (2018). Reduced-order state observer-based feedback control methodologies for doubly fed induction machine. IEEE Transactions on Industry Applications, 54(3), 2845–2856.  https://doi.org/10.1109/TIA.2018.2797252.CrossRefGoogle Scholar
  4. Chen, W. H., Yang, J., Guo, L., & Li, S. (2016). Disturbance-observer-based control and related methods—An overview. IEEE Transactions on Industrial Electronics, 63(2), 1083–1095.  https://doi.org/10.1109/TIE.2015.2478397.CrossRefGoogle Scholar
  5. Choi, J., Nam, K., Bobtsov, A. A., Pyrkin, A., & Ortega, R. (2017). Robust adaptive sensorless control for permanent-magnet synchronous motors. IEEE Transactions on Power Electronics, 32(5), 3989–3997.  https://doi.org/10.1109/TPEL.2016.2584084.CrossRefGoogle Scholar
  6. Dhaouadi, R., Mohan, N., & Norum, L. (1991). Design and implementation of an extended kalman filter for the state estimation of a permanent magnet synchronous motor. IEEE Transactions on Power Electronics, 6(3), 491–497.  https://doi.org/10.1109/63.85891.CrossRefGoogle Scholar
  7. Diab, A. A. Z. (2014). Real-time implementation of full-order observer for speed sensorless vector control of induction motor drive. Journal of Control, Automation and Electrical Systems, 25(6), 639–648.  https://doi.org/10.1007/s40313-014-0149-z.CrossRefGoogle Scholar
  8. Hasegawa, M. (2006). Robust-adaptive-observer design based on/spl gamma/-positive real problem for sensorless induction-motor drives. IEEE Transactions on Industrial Electronics, 53(1), 76–85.  https://doi.org/10.1109/TIE.2005.862311.CrossRefGoogle Scholar
  9. Hoshino, T., & Itoh, J. (2010). Output voltage correction for a voltage source type inverter of an induction motor drive. IEEE Transactions on Power Electronics, 25(9), 2440–2449.  https://doi.org/10.1109/TPEL.2010.2049031.CrossRefGoogle Scholar
  10. Koteich, M., Maloum, A., Duc, G., & Sandou, G. (2015). Permanent magnet synchronous drives observability analysis for motion-sensorless control. In 2015 IEEE symposium on sensorless control for electrical drives (SLED) (pp. 1–8).  https://doi.org/10.1109/SLED.2015.7339264.
  11. Krishnan, R. (2009). Permanent magnet synchronous and brushless DC motor drives. Boca Raton: CRC Press.Google Scholar
  12. Kshirsagar, P., Burgos, R. P., Jang, J., Lidozzi, A., Wang, F., Boroyevich, D., et al. (2012). Implementation and sensorless vector-control design and tuning strategy for smpm machines in fan-type applications. IEEE Transactions on Industry Applications, 48(6), 2402–2413.  https://doi.org/10.1109/TIA.2012.2227135.CrossRefGoogle Scholar
  13. Kwon, T. S., Shin, M. H., & Hyun, D. S. (2005). Speed sensorless stator flux-oriented control of induction motor in the field weakening region using luenberger observer. IEEE Transactions on Power Electronics, 20(4), 864–869.  https://doi.org/10.1109/TPEL.2005.850939.CrossRefGoogle Scholar
  14. Lascu, C., Boldea, I., & Blaabjerg, F. (2005). Comparative study of adaptive and inherently sensorless observers for variable-speed induction-motor drives. IEEE Transactions on Industrial Electronics, 53(1), 57–65.  https://doi.org/10.1109/TIE.2005.862314.CrossRefGoogle Scholar
  15. Liang, D., Li, J., Qu, R., & Kong, W. (2018). Adaptive second-order sliding-mode observer for pmsm sensorless control considering VSI nonlinearity. IEEE Transactions on Power Electronics, 33(10), 8994–9004.  https://doi.org/10.1109/TPEL.2017.2783920.CrossRefGoogle Scholar
  16. Liu, X., Zhang, G., Mei, L., & Wang, D. (2016). Speed estimation with parameters identification of PMSM based on MRAS. Journal of Control, Automation and Electrical Systems, 27(5), 527–534.  https://doi.org/10.1007/s40313-016-0253-3.CrossRefGoogle Scholar
  17. Morawiec, M. (2013). The adaptive backstepping control of permanent magnet synchronous motor supplied by current source inverter. IEEE Transactions on Industrial Informatics, 9(2), 1047–1055.  https://doi.org/10.1109/TII.2012.2223478.CrossRefGoogle Scholar
  18. Ogata, K. (2010). Modern control engineering. Instrumentation and controls series. Upper Saddle River: Prentice Hall.Google Scholar
  19. Pacas, M. (2011). Sensorless drives in industrial applications. IEEE Industrial Electronics Magazine, 5(2), 16–23.  https://doi.org/10.1109/MIE.2011.941125.CrossRefGoogle Scholar
  20. Park, Y., & Sul, S. K. (2014). Sensorless control method for PMSM based on frequency-adaptive disturbance observer. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2(2), 143–151.  https://doi.org/10.1109/JESTPE.2013.2296596.CrossRefGoogle Scholar
  21. Po-ngam, S., & Sangwongwanich, S. (2012). Stability and dynamic performance improvement of adaptive full-order observers for sensorless PMSM drive. IEEE Transactions on Power Electronics, 27(2), 588–600.  https://doi.org/10.1109/TPEL.2011.2153212.CrossRefGoogle Scholar
  22. Tomita, M., Senjyu, T., Doki, S., & Okuma, S. (1998). New sensorless control for brushless DC motors using disturbance observers and adaptive velocity estimations. IEEE Transactions on Industrial Electronics, 45(2), 274–282.  https://doi.org/10.1109/41.681226.CrossRefGoogle Scholar
  23. Zhong, L., Rahman, M. F., Hu, W. Y., & Lim, K. W. (1997). Analysis of direct torque control in permanent magnet synchronous motor drives. IEEE Transactions on Power Electronics, 12(3), 528–536.  https://doi.org/10.1109/63.575680.CrossRefGoogle Scholar

Copyright information

© Brazilian Society for Automatics--SBA 2019

Authors and Affiliations

  1. 1.Power Electronics and Control Research Group - GEPOCFederal University of Santa Maria - UFSMSanta MariaBrazil

Personalised recommendations