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access icon free Modified predictive torque and flux control for open end winding induction motor drive based on ranking method

© The Institution of Engineering and Technology
Received 15/10/2017, Accepted 18/12/2017, Revised 07/12/2017, Published 21/12/2017

The emerging application of predictive torque and flux control (PTC) in induction motor (IM) drive technology is becoming more successful. The PTC scheme can be applied to open-end winding IM (OEWIM) drive fed by dual inverter owing to its merits: high dynamic performance, simple control by involving regulation parameters into the control law. However, a conventional PTC offers single control law. To achieve controlling of multiple parameters, weighting factors need to be assigned to the respective parameters in the control law. The selection of weighting factors directly affects control performance of OEWIM. For an optimal selection of weighting factors, the empirical method has to be followed, which is time overwhelming and cumbersome process. To overcome this problem, this study introduces multi-objective controlling and optimisation based on the ranking method rather than the minimisation of single control law as in the case of conventional methods. The proposed feature circumvents optimisation of weighting factors. To validate the proposed scheme, simulation using Matlab/Simulink and experimental analysis are performed for dual-inverter fed OEWIM drive. By considering same control objectives (torque, flux ripple and switching frequency limitation), these results are examined with a conventional PTC scheme to accentuate merits of the proposed scheme.

Inspec keywords: invertors; predictive control; machine control; torque control; induction motor drives; minimisation; machine windings

Other keywords: multiobjective optimisation; dual-inverter fed OEWIM drive; ranking method; IM drive technology; multiobjective control; empirical method; single control law minimisation; switching frequency limitation; regulation parameters; PTC scheme; modified predictive torque control and flux control; weighting factor selection; open end winding induction motor drive; flux ripple; Matlab-Simulink

Subjects: DC-AC power convertors (invertors); Control of electric power systems; Optimisation techniques; Drives; Asynchronous machines; Optimal control; Optimisation techniques; Mechanical variables control

References

    1. 1)
      • 19. Linder, A., Kennel, R.: ‘Model predictive control for electrical drives’. IEEE 36th Power Electronics Specialists Conf., 2005, PESC ‘05, 2005, pp. 1793–1799.
    2. 2)
      • 31. Habibullah, Md., Lu, D.D.C., Xiao, D., et al: ‘A simplified finite-state predictive direct torque control for induction motor drive’, IEEE Trans. Ind. Electron., 2016, 63, (6), pp. 3964–3975.
    3. 3)
      • 37. Muddineni, V.P., Sandepudi, S.R., Bonala, A.K.: ‘Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method’, IET Electr. Power Appl., 2017, 11, (5), pp. 749–760.
    4. 4)
      • 22. Zhou, D., Zhao, J., Liu, Y.: ‘Predictive torque control scheme for three-phase four-switch inverter-fed induction motor drives with DC-link voltages offset suppression’, IEEE Trans. Power Electron., 2015, 30, (6), pp. 3309–3318.
    5. 5)
      • 21. Yaramasu, V., Rivera, M., Narimani, M., et al: ‘Finite state model-based predictive current control with two-step horizon for four-leg NPC converters’, J. Power Electron., 2014, 14, (6), pp. 1178–1188.
    6. 6)
      • 10. Kang, J.-K., Sul, S.-K.: ‘New direct torque control of induction motor for minimum torque ripple and constant switching frequency’, IEEE Trans. Ind. Appl., 1999, 35, (5), pp. 1076–1082.
    7. 7)
      • 26. Cortes, P., Kouro, S., Rocca, B.L., et al: ‘Guidelines for weighting factors design in model predictive control of power converters and drives’. Proc. IEEE Int. Conf. Industrial Technology (ICIT'09), 2009, pp. 1–7.
    8. 8)
      • 12. Kumar, K.V.P., Kumar, T.V.: ‘Experimental implementation of direct torque control of open end winding induction motor’. 2016 IEEE Region 10 Conf. (TENCON), Singapore, 2016, pp. 3318–3323.
    9. 9)
      • 33. Zhang, Y., Yang, H., Xia, B.: ‘Model predictive torque control of induction motor drives with reduced torque ripple’, IET Electr. Power Appl., 2015, 9, (9), pp. 595–604.
    10. 10)
      • 41. Uddin, M., Mekhilef, S., Mubin, M., et al: ‘Model predictive torque ripple reduction with weighting factor optimization fed by an indirect matrix converter’, Electr. Power Compon. Syst., 2014, 42, (10), pp. 1059–1069.
    11. 11)
      • 27. Vargas, R., Rodríguez, J., Ammann, U., et al: ‘Predictive current control of an induction machine fed by a matrix converter with reactive power control’, IEEE Trans. Ind. Electron., 2008, 55, (12), pp. 4372–4380.
    12. 12)
      • 23. Zhou, D., Zhao, J., Li, Y.: ‘Model predictive control scheme of five-leg AC-DC-AC converter-fed induction motor drive’, IEEE Trans. Ind. Electron., 2016, 63, (7), pp. 4517–4526.
    13. 13)
      • 15. Morari, M., Lee, J.H.: ‘Model predictive control: past, present and future’, Comput. Chem. Eng., 1999, 23, pp. 667–682.
    14. 14)
      • 4. Rodriguez, J., Lai, J.S., Peng, F.Z.: ‘Multilevel inverters: a survey of topologies, controls, and applications’, IEEE Trans. Ind. Electron., 2002, 49, (4), pp. 724–738.
    15. 15)
      • 7. Kawamura, A., Haft, R.: ‘An analysis of induction motor field oriented or vector control’. IEEE Power Electronics Specialists Conf. Rec., 1983, pp. 91–101.
    16. 16)
      • 30. Miranda, H., Cortes, P., Yuz, J., et al: ‘Predictive torque control of induction machines based on state-space models’, IEEE Trans. Ind. Electron., 2009, 56, (6), pp. 1916–1924.
    17. 17)
      • 28. Rodríguez, J., Kennel, R.M., Espinoza, J.R., et al: ‘High performance control strategies for electrical drives: an experimental assessment’, IEEE Trans. Ind. Electron., 2012, 59, (2), pp. 812–820.
    18. 18)
      • 17. Camacho, E., Bordons, C.: ‘Model predictive control’ (Springer-Verlag, Berlin, Germany, 2007).
    19. 19)
      • 11. Lee, K.-B., Song, J.-H., Choy, I., et al: ‘Torque ripple reduction in DTC of induction motor driven by three-level inverter with low switching frequency’, IEEE Trans. Power Electron., 2002, 11, pp. 255–264.
    20. 20)
      • 24. Correa, P., Pacas, M., Rodriguez, J.: ‘Predictive torque control for inverter-fed induction machines’, IEEE Trans. Ind. Electron., 2007, 54, (2), pp. 1073–1079.
    21. 21)
      • 9. Takashi Noguchi, T.: ‘A new quick-response and high-efficiency control of an induction motor’, IEEE Trans. Ind. Appl., 1986, 22, (5), pp. 820–827.
    22. 22)
      • 34. 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, pp. 1540–1551.
    23. 23)
      • 18. Rawlings, J., Mayne, D.: ‘Model predictive control, theory and design’ (Nob Hill Publ., Madison, WI, 2009).
    24. 24)
      • 20. Wang, F., Zhang, Z., Kennel, R., et al: ‘Model predictive torque control with an extended prediction horizon for electrical drive systems’, Int. J. Control, 2015, 88, (7), pp. 1379–1388.
    25. 25)
      • 38. Zhou, D., Zaho, J., Liu, Y.: ‘Online tuning of weighting factors based on Sugeno-fuzzy method in predictive torque control of four-switch three-phase inverter-fed IM’. Int. Symp. Power Electronics, Electrical Drives, Automation and Motion, 2016, pp. 734–739.
    26. 26)
      • 35. Zanchetta, P.: ‘Heuristic multi-objective optimization for cost function weights selection in finite states model predictive control’. Workshop on Predictive Control of Electrical Drives and Power Electronics, October 2011, pp. 70–75.
    27. 27)
      • 8. Sathikumar, S., Vithayathil, J.: ‘Digital simulation of field-oriented control of induction motor’, IEEE Trans. Ind. Electron., 1984, IE-31, (2), pp. 141–148.
    28. 28)
      • 5. Lakhimsetty, S., Surulivel, N., Somasekhar, V.T.: ‘Improvised SVPWM strategies for an enhanced performance for a four-level open-end winding induction motor drive’, IEEE Trans. Ind. Electron., 2017, 64, (4), pp. 2750–2759.
    29. 29)
      • 3. Mittal, N., Singh, B., Singh, S.P., et al: ‘Multilevel inverters: a literature survey on topologies and control strategies’. 2012 2nd Int. Conf. Power, Control and Embedded Systems, Allahabad, 2012, pp. 1–11.
    30. 30)
      • 16. Maciejowski, J.: ‘Predictive control with constraints’ (Prentice-Hall, New York, 2002).
    31. 31)
      • 2. Gupta, K.K., Ranjan, A., Bhatnagar, P., et al: ‘Multilevel inverter topologies with reduced device count: a review’, IEEE Trans. Power Electron., 2016, 31, (1), pp. 135–151.
    32. 32)
      • 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.
    33. 33)
      • 25. Mutschler, P., Flach, E.: ‘Digital implementation of predictive direct control algorithms for induction motors’. Proc. of the IEEE Industry Applications Conf., 1998, pp. 444–451.
    34. 34)
      • 40. Kumar, K.V.P., Vinay, T.: ‘Predictive torque control of open-end winding induction motor drive fed with multi-level inversion using two two-level inverters’, IET Electr. Power Appl., 2018, 12, (1), pp. 54–62.
    35. 35)
      • 42. Rodriguez, J., Cortes, P.: ‘Predictive control of induction machines’, in ‘Predictive control of power converters and electrical drives’, vol. 1 (John Wiley & Sons, Ltd.,Chichester, United Kingdom, 2012), pp. 115–132.
    36. 36)
      • 14. Ramchand, R., Gopakumar, K., Patel, C., et al: ‘Online computation of hysteresis boundary for constant switching frequency current-error space-vector-based hysteresis controller for VSI fed IM drives’, IEEE Trans. Power Electron., 2012, 27, (3), pp. 1521–1529.
    37. 37)
      • 1. Kouro, S., Malinowski, M., Gopakumar, K., et al: ‘Recent advances and industrial applications of multilevel converters’, IEEE Trans. Ind. Electron., 2010, 57, (8), pp. 2553–2580.
    38. 38)
      • 39. Zhu, B., Rajashekara, K., Kubo, H.: ‘Predictive torque control with zero-sequence current suppression for open-end winding induction machine’. 2015 IEEE Industry Applications Society Annual Meeting, Addison, TX, 2015, pp. 1–7.
    39. 39)
      • 6. Blaschke, F.: ‘The principle of field-orientation as applied to the transvector closed-loop control system for rotating-field machines’, Siemens Rev., 1972, 34, pp. 217–220.
    40. 40)
      • 13. Shyu, K.-K., Lin, J.-K., Pham, V.-T., et al: ‘Global minimum torque ripple design for direct torque control of induction motor drives’, IEEE Trans. Ind. Electron., 2010, 57, (9), pp. 3148–3156.
    41. 41)
      • 36. Muddineni, V.P., Bonala, A.K., Sandepudi, S.R.: ‘Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method’, IET Electr. Power Appl., 2016, 10, (9), pp. 877–888.
    42. 42)
      • 32. Habibullah, M., Lu, D.D.C.: ‘Model predictive duty based torque and flux ripples minimization of induction motor drive’. 7th IET Int. Conf. Power Electronics, Machines and Drives (PEMD 2014), Manchester, 2014, pp. 1–6.
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