Predictive torque control for voltage source inverter-permanent magnet synchronous motor based on equal torque effect

Changliang Xia; Xudong Qiu; Zhiqiang Wang; Tingna Shi

Predictive torque control for voltage source inverter-permanent magnet synchronous motor based on equal torque effect

View Fulltext

Author(s): Changliang Xia ¹ ; Xudong Qiu ¹ ; Zhiqiang Wang ² ; Tingna Shi ¹
- Affiliations: 1: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, People's Republic of China ;
  2: Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin 300387, People's Republic of China
Source: Volume 10, Issue 3, March 2016, p. 208 – 216
DOI: 10.1049/iet-epa.2015.0310 , Print ISSN 1751-8660, Online ISSN 1751-8679

Received 22/06/2015, Accepted 15/10/2015, Revised 07/10/2015, Published 01/03/2016

In this paper, equal torque effect (ET-effect) is discovered, which means that the same torque can be obtained by applying different voltage vectors whose terminals locate on a special curve called the equal torque curve (ET-curve). By means of ET-effect, an improved predictive torque control (PTC) without weighting factor is proposed. First, to obtain the volt-sec vectors whose terminals locate on the ET-curve, the proposed PTC calculates the duty cycles of all the voltage vectors intersected with the ET-curve, and then establishes finite control set by accumulating those volt-sec vectors. Second, a cost function that includes only the flux error is defined to select the optimal volt-sec vector, and thus to avoid weighting factor adjustment since the torque error no longer exists in the cost function. Because of the two-step optimisation of torque and flux, the proposed PTC can avoid the problem that the duty cycle cannot be fully utilised in standard PTC. As a result, the proposed PTC achieves better performance of torque and flux than standard PTC and PTC with duty cycle. Finally, experiments have been carried out to validate the proposed PTC strategy.

References

1. 1)
  - 6. Preindl, M., Schaltz, E.: ‘Sensorless model predictive direct current control using novel second-order PLL observer for PMSM drive systems’, IEEE Trans. Ind. Electron., 2011, 58, (9), pp. 4087–4095 (doi: 10.1109/TIE.2010.2100331).
2. 2)
  - 14. Rojas, C.A., Rodriguez, J., Villarroel, F., et al: ‘Predictive torque and flux control without weighting factors’, IEEE Trans. Ind. Electron., 2013, 60, (2), pp. 681–690 (doi: 10.1109/TIE.2012.2206344).
3. 3)
  - 15. Riar, B.S., Geyer, T., Madawala, U.K.: ‘Model predictive direct current control of modular multilevel converters: modeling, analysis, and experimental evaluation’, IEEE Trans. Power Electron., 2015, 30, (1), pp. 431–439 (doi: 10.1109/TPEL.2014.2301438).
4. 4)
  - 28. Inoue, Y., Morimoto, S., Sanada, M.: ‘Comparative study of PMSM drive systems based on current control and direct torque control in flux-weakening control region’, IEEE Trans. Ind. Appl., 2012, 48, (6), pp. 2382–2389 (doi: 10.1109/TIA.2012.2227134).
5. 5)
  - 9. Lim, C.S., Levi, E., Jones, M., et al: ‘A comparative study of synchronous current control schemes based on FCS-MPC and PI-PWM for a two-motor three-phase drive’, IEEE Trans. Ind. Electron., 2014, 61, (8), pp. 3867–3878 (doi: 10.1109/TIE.2013.2286573).
6. 6)
  - 17. Davari, S.A., Khaburi, D.A., Kennel, R.: ‘An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor’, IEEE Trans. Power Electron., 2012, 27, (3), pp. 1540–1551 (doi: 10.1109/TPEL.2011.2162343).
7. 7)
  - 25. Habibullah, M., Lu, D.D.-C.: ‘Model predictive duty based torque and flux ripples minimization of induction motor drive’. Proc. 7th IET Int. Conf. on Power Electronics, Machines and Drives, Manchester, April 2014, pp. 1–6.
8. 8)
  - 2. Sreejeth, M., Singh, M., Kumar, P.: ‘Particle swarm optimisation in efficiency improvement of vector controlled surface mounted permanent magnet synchronous motor drive’, IET Power Electron., 2015, 8, (5), pp. 760–769 (doi: 10.1049/iet-pel.2014.0399).
9. 9)
  - 23. Duran, M., Prieto, J., Barrero, F., et al: ‘Predictive current control of dual three-phase drives using restrained search techniques’, IEEE Trans. Ind. Electron., 2011, 58, (8), pp. 3253–3263 (doi: 10.1109/TIE.2010.2087297).
10. 10)
  - 19. Uddin, M., Mekhilef, S., Rivera, M., et al: ‘Predictive indirect matrix converter fed torque ripple minimization with weighting factor optimization’. Proc. 2014 Int. Power Electronics Conf., Hiroshima, May 2014, pp. 3574–3581.
11. 11)
  - 1. Piippo, A., Hinkkanen, M., Luomi, J.: ‘Analysis of an adaptive observer for sensorless control of interior permanent magnet synchronous motors’, IEEE Trans. Ind. Electron., 2008, 55, (2), pp. 570–576 (doi: 10.1109/TIE.2007.911949).
12. 12)
  - 10. Uddin, M., Mekhilef, S., Rivera, M.: ‘Experimental validation of minimum cost function-based model predictive converter control with efficient reference tracking’, IET Power Electron., 2015, 8, pp. 278–287 (doi: 10.1049/iet-pel.2014.0368).
13. 13)
  - 17. Rivera, M., Wilson, A., Rojas, C.A., et al: ‘A comparative assessment of model predictive current control and space vector modulation in a direct matrix converter’, IEEE Trans. Ind. Electron., 2013, 60, pp. 578–588 (doi: 10.1109/TIE.2012.2206347).
14. 14)
  - 11. Vargas, R., Ammann, U., Rodriguez, J.: ‘Predictive approach to increase efficiency and reduce switching losses on matrix converters’, IEEE Trans. Power Electron., 2009, 24, (4), pp. 894–902 (doi: 10.1109/TPEL.2008.2011907).
15. 15)
  - 5. Maeda, T., Doki, S.: ‘Improvement of torque control system of PMSM based on model predictive control’. Proc. 37th Annual Conf. on IEEE Industrial Electronics Society, Melbourne, VIC, November 2011, pp. 1891–1896.
16. 16)
  - 4. Kim, H.W., Youn, M.J., Cho, K.Y., et al: ‘Nonlinearity estimation and compensation of PWM VSI for PMSM under resistance and flux linkage uncertainty’, IEEE Trans. Control Syst. Technol., 2006, 14, (4), pp. 589–601 (doi: 10.1109/TCST.2006.876622).
17. 17)
  - 28. Riveros, J., Barrero, F., Levi, E., et al: ‘Variable-speed five-phase induction motor drive based on predictive torque control’, IEEE Trans. Ind. Electron., 2013, 60, (8), pp. 2957–2968 (doi: 10.1109/TIE.2012.2198034).
18. 18)
  - 26. Zhang, Y., Yang, H.: ‘Model predictive torque control with duty ratio optimization for two-level inverter-fed induction motor drive’. Proc. Int. Conf. on Electrical Machines and Systems, Busan, October 2013, pp. 2189–2194.
19. 19)
  - 22. Rojas, C.A., Rodriguez, J., Villarroel, F., et al: ‘Multiobjective fuzzy predictive torque control of an induction motor drive’. Proc. 6th Power Electronics, Drives Systems and Technologies Conf., Tehran, February 2015, pp. 201–206.
20. 20)
  - 27. Cai, H., Xu, W., Yang, W., et al: ‘New model based predictive torque control algorithm in combination with duty ratio modulation strategy for flux-switching permanent magnet synchronous machines’. Proc. Int. Conf. on Electrical Machines and Systems, Busan, October 2013, pp. 26–29.
21. 21)
  - 13. Tarisciotti, L., Zanchetta, P., Watson, A., et al: ‘Modulated model predictive control for a seven-level cascaded H-bridge back-to-back converter’, IEEE Trans. Ind. Electron., 2014, 61, (10), pp. 5375–5383 (doi: 10.1109/TIE.2014.2300056).
22. 22)
  - 14. Geyer, T., Mastellone, S.: ‘Model predictive direct torque control of a five-level ANPC converter drive system’, IEEE Trans. Ind. Appl., 2012, 48, (5), pp. 1565–1575 (doi: 10.1109/TIA.2012.2210174).
23. 23)
  - 3. Errabelli, R.R., Mutschler, P.: ‘Fault-tolerant voltage source inverter for permanent magnet drives’, IEEE Trans. Power Electron., 2012, 27, (2), pp. 500–508 (doi: 10.1109/TPEL.2011.2135866).
24. 24)
  - 20. Zhang, Y., Yang, H.: ‘An improved two-vectors- based model predictive torque control without weighting factors for induction motor drives’. Proc. 17th Int. Conf. on Electrical Machines and Systems, Hangzhou, October 2014, pp. 2766–2772.
25. 25)
  - 7. Xia, C., Wang, Y., Shi, T.: ‘Implementation of finite-state model predictive control for commutation torque ripple minimization of permanent-magnet brushless DC motor’, IEEE Trans. Ind. Electron., 2013, 60, (3), pp. 896–905 (doi: 10.1109/TIE.2012.2189536).
26. 26)
  - 21. Duran, M., Riveros, J., Barrero, F., et al: ‘Reduction of common-mode voltage in five-phase induction motor drives using predictive control techniques’, IEEE Trans. Ind. Appl., 2012, 48, (6), pp. 2059–2067 (doi: 10.1109/TIA.2012.2226221).
27. 27)
  - 29. Vargas, R., Ammann, U., Hudoffsky, B., et al: ‘Predictive torque control of an induction machine fed by a matrix converter with reactive input power control’, IEEE Trans. Power Electron., 2010, 25, (6), pp. 1426–1438 (doi: 10.1109/TPEL.2010.2040839).
28. 28)
  - 23. Davari, S.A., Khaburi, D.A., Kennel, R.: ‘Using a weighting factor table for FCS-MPC of induction motors with extended prediction horizon’. Proc. 38th Annual Conf. on IEEE Industrial Electronics Society, Montreal, QC, October 2012, pp. 2086–2091.

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Predictive torque control for voltage source inverter-permanent magnet synchronous motor based on equal torque effect

References

Related content