# Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

### Abstract

This paper describe the presentation of an IM for high load and high-power applications, this kind of applications the motor have a complex coupling between the field and torque. This can be achieve with assist of Indirect Field Oriented Control (IFOC) and parallel connection of two motors. The benefit is that parallel connection can provide the decoupled control of flux and torque for each motor and their concert in different operating environments. The Speed control of two Double Star Induction Motors working in parallel configuration with IFOC using a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference (ANFIS) controller is investigate in different operating environments. The two motors are connected in parallel at the output of a single six-phase PWM based inverter fed from a DC source. Performance of the projected method under load disturbances is studied through simulation using a MATLAB and evaluation of speed response of two controllers is analyzed.### Downloads

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### References

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[12] K. Matsuse, H. Kawai, Y. Kouno, J. Oikawa, Characteristics of speed sensorless vector controlled dual induction motor drive connected in parallel fed by a single inverter, IEEE Trans. Ind. Appl. 40 (1) (2004) 153–161.

[13] R. Gunabalan, V. Subbiah, Review of speed-sensorless vector control of parallel connected induction motor drive fed by a single inverter, JEE 12 (4) (2012) 73–82.

[14] K. Matsuse, Y. Kouno, H. Kawai, S. Yokomizo, A speed-sensorless vector control method of parallel-connected dual induction motor fed by a single inverter, IEEE Trans. Ind. Appl. 38 (6) (2002) 1566–1572.

[15] W. Ruxi, W. Yue, D. Qiang, H. Yanhui, Wang Zhaoan, Study of control methodology for single inverter parallel connected dual induction motors based on the dynamic model, in: Power Electronics Specialists Conference, 2006. PESC’06. 37th IEEE, 2006, pp. 1–7.

[16] J. Nishimura, K. Oka, K. Matsuse, A method of speed sensorless vector control of parallel-connected dual induction motors by a single inverter with a rotor flux control, in: Proceeding of ICEMS’07, Korea, 2007.

[17] R. Gunabalan, V. Subbiah, Speed-sensorless vector control of parallel connected induction motor drive with fuzzy controller, in: IEEE Inter. Conference on CICR’12, 2012.

[18] E.H. Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, Proc. IEEE 121 (12) (1974) 1585–1588.

[19] W.Z. Qiao, M. Mizumoto, PID type fuzzy controller and parameters adaptive method, Fuzzy Sets Syst. 78 (1996) 23–35.

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[21] Jang J.S.R., “ANFIS: Adaptive-network-based fuzzy inference systems”, IEEE Transactions on systems, Man and Cybernetics, Vol.23, Issue.3, 1993, p. 665-685.

[22] J-S.R. Jang and C-T. Sun, “Neuro-Fuzzy Modeling and Control”, Proceeding of the IEEE Transactions, Vol.83, No.3, pp.378-406, Mar 1995.

[2] D. Foito, J. Maia, V. Fernao Pires, J.F. Martins, Double three-phase induction machine modeling for internal faults simulation, Electr.Power Compon. Syst.

[3] G.K. Singh, Multi-phase induction machine drive research—a survey, Electr. Power Sys. Res. 61.

[4] N.R. Abjadi, Sliding-mode control of a six-phase series/parallel connected two induction motors drive, ISA Trans. 53 (2014) 1847–1856.

[5] M.A. Abbas, R. Christen, R. Christen, T.M. Jahns, Six-phase voltage source inverter driven induction motor, IEEE Trans. Ind. Appl. IA-20 (April (5)) (1984) 1251–1259.

[6] G.K. Singh, K. Nam, S.K. Lim, A simple indirect field-oriented control scheme for multiphase induction machine, IEEE Trans. Ind. Electron. 52 (4) (2005) 1177–1184.

[7] E. Levi, Multiphase electric machines for variable-speed applications, IEEE Trans. Ind. Electron. 55 (May) (2008) 1893–1909.

[8] A.R. Munoz,˜ T.A. Lipo, Dual stator winding induction machine drive, IEEE Trans.

[9] E. Levi, R. Bojoi, F. Profumo, H.A. Toliyat, S. Williamson, Multiphase induction motor drives—a technology status review, IET Electr.

[10] A.S. Abdel-Khalik, M.I. Masoud, S. Ahmed, A. Massoud, Calculation of derating factors based on steady-state unbalanced multiphase induction machine model under open phase(s) and optimal winding currents, Electr. Power Syst. Res. 106 (2014) 214–225.

[11] S.N. Vukosavic, M. Jones, E. Levi, D. Dujic, Experimental performance evaluation of a five-phase parallel-connected two-motor

[12] K. Matsuse, H. Kawai, Y. Kouno, J. Oikawa, Characteristics of speed sensorless vector controlled dual induction motor drive connected in parallel fed by a single inverter, IEEE Trans. Ind. Appl. 40 (1) (2004) 153–161.

[13] R. Gunabalan, V. Subbiah, Review of speed-sensorless vector control of parallel connected induction motor drive fed by a single inverter, JEE 12 (4) (2012) 73–82.

[14] K. Matsuse, Y. Kouno, H. Kawai, S. Yokomizo, A speed-sensorless vector control method of parallel-connected dual induction motor fed by a single inverter, IEEE Trans. Ind. Appl. 38 (6) (2002) 1566–1572.

[15] W. Ruxi, W. Yue, D. Qiang, H. Yanhui, Wang Zhaoan, Study of control methodology for single inverter parallel connected dual induction motors based on the dynamic model, in: Power Electronics Specialists Conference, 2006. PESC’06. 37th IEEE, 2006, pp. 1–7.

[16] J. Nishimura, K. Oka, K. Matsuse, A method of speed sensorless vector control of parallel-connected dual induction motors by a single inverter with a rotor flux control, in: Proceeding of ICEMS’07, Korea, 2007.

[17] R. Gunabalan, V. Subbiah, Speed-sensorless vector control of parallel connected induction motor drive with fuzzy controller, in: IEEE Inter. Conference on CICR’12, 2012.

[18] E.H. Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, Proc. IEEE 121 (12) (1974) 1585–1588.

[19] W.Z. Qiao, M. Mizumoto, PID type fuzzy controller and parameters adaptive method, Fuzzy Sets Syst. 78 (1996) 23–35.

[20] M. Mizumoto, Product-sum-gravity method = fuzzy singleton-type reasoning method = simplified fuzzy reasoning method, in: Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, vol. 3, 1996,pp. 2098–2102.

[21] Jang J.S.R., “ANFIS: Adaptive-network-based fuzzy inference systems”, IEEE Transactions on systems, Man and Cybernetics, Vol.23, Issue.3, 1993, p. 665-685.

[22] J-S.R. Jang and C-T. Sun, “Neuro-Fuzzy Modeling and Control”, Proceeding of the IEEE Transactions, Vol.83, No.3, pp.378-406, Mar 1995.

Published

2017-10-01

How to Cite

KUMAR, Dr. M Vijaya; RAO, M Anka; KUMAR, N Premanath.
Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS.

**International Journal of Research and Engineering**, [S.l.], v. 4, n. 9, p. 244-250, oct. 2017. ISSN 2348-7860. Available at: <http://digital.ijre.org/index.php/int_j_res_eng/article/view/298>. Date accessed: 19 apr. 2018.
Section

Articles