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A Novel Speed Estimation Method of Induction Motors Using Real-Time Adaptive Extended Kalman Filter

  • Zhang, Yanqing ;
  • Yin, Zhonggang ;
  • Li, Guoyin ;
  • Liu, Jing ;
  • Tong, Xiangqian
  • Received : 2017.05.29
  • Accepted : 2017.10.01
  • Published : 2018.01.01

Abstract

To improve the performance of sensorless induction motor (IM) drives, a novel speed estimation method based on the real-time adaptive extended Kalman filter (RAEKF) is proposed in this paper. In this algorithm, the fuzzy factor is introduced to tune the measurement covariance matrix online by the degree of mismatch between the actual innovation and the theoretical. Simultaneously, the fuzzy factor can be continuously self-tuned tuned by the fuzzy logic reasoning system based on Takagi-Sugeno (T-S) model. Therefore, the proposed method improves the model adaptability to the actual systems and the environmental variations, and reduces the speed estimation error. Furthermore, a simple exponential function based on the fuzzy theory is used to reduce the computational burden, and the real-time performance of the system is improved. The correctness and the effectiveness of the proposed method are verified by the simulation and experimental results.

Keywords

Induction motor (IM);Speed estimation;Real-time adaptive extended Kalman filter (RAEKF);Fuzzy factor

References

  1. X. Sun, L. Chen, Z. Yang, and H. Zhu, "Speedsensorless vector control of a bearingless induction motor with artificial neural network inverse speed observer," IEEE Trans. on Mechatron., vol. 18, no. 4, pp. 1357-1366, Aug. 2013. https://doi.org/10.1109/TMECH.2012.2202123
  2. T. Orlowska-Kowalska and M. Dybkowski, "A new formulation of reactive-power-based model reference adaptive system for sensorless induction motor drive," IEEE Trans. Ind. Electron., vol. 62, no. 11, pp. 6797-6807, Nov. 2015. https://doi.org/10.1109/TIE.2015.2432105
  3. A. Accetta, M. Cirrincione, M. Pucci, and G. Vitale, "Closed-loop MRAS speed observer for linear inductionmotor drives," IEEE Trans. Ind. Appl., vol. 51, no. 3, pp. 2279-2290, May/Jun. 2015. https://doi.org/10.1109/TIA.2014.2375377
  4. L. Zhao, J. Huang, N. Li, and W. Kong, "Secondorder sliding-mode observer with online parameter identification for sensorless induction motodrives," IEEE Trans. Ind. Electron., vol. 61, no. 10, pp. 5280- 5289, Oct. 2014. https://doi.org/10.1109/TIE.2014.2301730
  5. R. Vieira, C. Gastaldini, R. Azzolin, and H. A. Gründling, "Sensorless sliding-mode rotor speed observer of induction machines based on magnetizing current estimation," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4573-4582, Sep. 2014. https://doi.org/10.1109/TIE.2013.2290759
  6. S. Po-ngam and S. Sangwongwanich, "Stability and dynamic performance improvement of adaptive fullorder observers for sensorless PMSM drive," IEEE Trans. Power Electron., vol. 27, no. 2, pp. 588-600, Feb. 2012. https://doi.org/10.1109/TPEL.2011.2153212
  7. M. Zaky, "Stability analysis of speed and stator resistance estimators for sensorless induction motor drives," IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 858-870, Feb. 2012. https://doi.org/10.1109/TIE.2011.2161658
  8. W. Sun, Y. Yu, G. Wang, B. Li, and D. Xu "Design method of adaptive full order observer with or without estimated flux error in speed estimation algorithm," IEEE Trans. Power. Electron., vol. 31, no. 3, pp. 2609-2626, Mar. 2016. https://doi.org/10.1109/TPEL.2015.2440373
  9. C. Caruana, G. M. Asher, and M. Sumner, "Performance of HF signal injection techniques for zero-low-frequency vector control of induction machines under sensorless conditions," IEEE Trans. Ind. Electron., vol. 53, no. 1, pp. 225-238, Feb. 2006. https://doi.org/10.1109/TIE.2005.862257
  10. L. Xu, E. Inoa, Y. Liu, and B. Guan, "A new highfrequency injection method for sensorless control of doubly fed induction machines," IEEE Trans. Ind. Appl., vol. 48, no. 5, pp. 1556-1564, Sep/Oct. 2012. https://doi.org/10.1109/TIA.2012.2210015
  11. F. Alonge, T. Cangemi, F. D'Ippolito, A. Fagiolini and A. Sferlazza, "Convergence analysis of an extended Kalman filter for sensorless control of induction motors," IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2341-2352, Apr. 2015. https://doi.org/10.1109/TIE.2014.2355133
  12. I. Alsofyani and N. Idris, "Simple flux regulation for improving state estimation at very low and zero speed of a speed sensorless direct torque control of an induction motor," IEEE Trans. Power. Electron., vol. 31, no. 4, pp. 3027-3035, Apr. 2016. https://doi.org/10.1109/TPEL.2015.2447731
  13. M. Habibullah and D. Lu, "A speed-sensorless FSPTC of induction motors using extended Kalman filters," IEEE Trans. Ind. Electron., vol. 62, no. 11, pp. 6765-6778, Nov. 2015. https://doi.org/10.1109/TIE.2015.2442525
  14. Y. Shi, K. Sun, L. Huang, and Y. Li, "Online identification of permanent magnet fluxbased on extended Kalman filter for IPMSM drive with position sensorless control," IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4169-4178, Nov. 2012. https://doi.org/10.1109/TIE.2011.2168792
  15. L. Idkhajine, E. Monmasson, and A. Maalouf, "Fully FPGA-based sensorless control for synchronous AC drive using an extended Kalman filter," IEEE Trans. Ind. Electron., vol. 59, no. 10, pp. 3908-3918, Oct. 2012. https://doi.org/10.1109/TIE.2012.2189533
  16. N. K. Quang, N. T. Hieu, and Q. P. Ha, "FPGA-based sensorless PMSM speed control using reduced-order extended Kalman filters," IEEE Trans. Ind. Electron., vol. 61, no. 2, pp. 6574-6582, Dec. 2014. https://doi.org/10.1109/TIE.2014.2320215
  17. Z. Yin, C. Zhao, J. Liu, and Y. Zhong, "Research on anti-error performance of speed and flux estimator for induction motor using robust reduced-order EKF," IEEE Trans. Ind. Informatics., vol. 9, no. 2, pp. 1037-1046, May. 2013. https://doi.org/10.1109/TII.2012.2222422
  18. M. Barut, R. Demir, E. Zerdali, and R. Inan, "Realtime implementation of bi input-extended Kalman filter-based estimator for speed-sensorless control of induction motors," IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4197-4206, Nov. 2012. https://doi.org/10.1109/TIE.2011.2178209
  19. Z. Yin, C. Zhao, Y. Zhong, and J. Liu, "Research on robust performance of speed-sensorless vector control for the induction motor using an interfacing multiplemodel extended kalman filter," IEEE Trans. Power. Electron., vol. 29, no. 6, pp. 3011-3019, Jun. 2014. https://doi.org/10.1109/TPEL.2013.2272091
  20. Z. Yin, G. Li, C. Du, J. Liu, X. Sun, and Y. Zhong, "An adaptive speed estimation method based on strong tracking extended Kalman filter with leastsquare for induction motors," Journal of Power Electron., vol. 17, no. 1, pp. 149-160, Jan. 2017. https://doi.org/10.6113/JPE.2017.17.1.149
  21. K. Szabat, T. Orlowska-Kowalska, and M. Dybkowski, "Indirect adaptive control of induction motor drive system with an elastic coupling," IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 4038-4042, Oct. 2009. https://doi.org/10.1109/TIE.2009.2022514
  22. M. Hilairet, F. Auger, and E. Berthelot, "Speed and rotor flux estimation of induction machines using a two-stage extended Kalman filter," Automatica, vol. 45, no. 8, pp. 1819-1827, Aug. 2009. https://doi.org/10.1016/j.automatica.2009.04.005
  23. V. Smidl and Z. Peroutka, "Advantages of squareroot extended Kalman filter for sensorless control of AC drives," IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4189-4196, Nov. 2012. https://doi.org/10.1109/TIE.2011.2180273
  24. N. Salvatore, A. Caponio, F. Neri, S. Stasi, and G. L. Cascella, "Optimization of delayed-state kalmanfilter- based optimization of delayed-state Kalmanfilter- based control of induction motors," IEEE Trans. Ind. Electron., vol. 57, no. 1, pp. 385-394, Jan. 2010. https://doi.org/10.1109/TIE.2009.2033489
  25. T. Schuhmann and W. Hofmann, "Improving operational performance of active magnetic bearings using Kalman filter and state feedback control," IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 821- 829, Feb. 2012. https://doi.org/10.1109/TIE.2011.2161056
  26. G. Foo, X. Zhang, and D. Vilathgamuwa, "A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3485-3495, Aug. 2013. https://doi.org/10.1109/TIE.2013.2244537