Double star permanent magnet synchronous machine: modified direct torque control

Authors

  • Naas Bachir
  • Benalia M’hamdi
  • Amari Abderrahmane
  • Naas Badreddine

DOI:

https://doi.org/10.54021/seesv5n1-051

Keywords:

Double Star Permanent Magnet Synchronous Machine (DS-PMSM), Direct Torque Control (DTC), Artificial Neural Networks (ANN)

Abstract

In the area of high power drives, double star synchronous machines are an interesting choice compared to conventional synchronous machines, due to the relatively low torque ripple created. In this paper, direct torque control (DTC) of double star permanent magnet synchronous machine (DS-PMSM) using artificial neural networks (ANN) is proposed. MATLAB/Simulink results show the comparison between direct torque control (DTC) and direct torque control using artificial neural networks (ANN). The analysis of the results shows good performance for speed, small torque and flow ripple when using the artificial neural network (ANN) strategy.

References

WERREN, L. Synchronous machine with two three phase windings, spatially disposed by 300 el. commutation reactance and model for converter performance simulation. ICEM 84 Conference, Lausanne, Switzerland, v. 2, p. 781, set. 1984.

NORDIN, N. M.; IDRIS, N. R. N. and AZLI, N. A. Direct Torque Control with 5-level cascaded H-bridge multilevel inverter for induction machines. IECON 2011- 37th Annual Conference of the IEEE Industrial Electronics Society. IEEE,p.4691, nov. 2011. DOI: https://doi.org/10.1109/IECON.2011.6120084

TAKAHASHI, I.; TOSHIHIKO N. A new quick-response and high-efficiency control strategy of an induction motor. IEEE Transactions on Industry applications, n. 5 , p. 820, 1986.

URREJOLA, P., et al. Direct torque control of an 3L-NPC inverter-fed induction machine: A model predictive approach. IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.p.2974, nov. 2010. DOI: https://doi.org/10.1109/IECON.2010.5675068

OBERMANN, T. R., HURST, Z. D., and LORENZ, R. D. Deadbeat-direct torque & flux control motor drive over a wide speed, torque and flux operating space using a single control law. In 2010 IEEE Energy Conversion Congress and Exposition, p. 215, set 2010. DOI: https://doi.org/10.1109/ECCE.2010.5618041

PEREDA, J., DIXON, J. and ROTTELLA, M. Direct Torque Control for sensorless induction motor drives using an improved H-Bridge multilevel inverter. 35th Annual Conference of IEEE Industrial Electronics. p1110, nov.2009. DOI: https://doi.org/10.1109/IECON.2009.5414679

ALLOUI, H., BERKANI, A., and REZINE, H. A three level NPC inverter with neutral point voltage balancing for induction motors Direct Torque Control." The XIX International Conference on Electrical Machines-ICEM 2010. IEEE,p.1 sep. 2010. DOI: https://doi.org/10.1109/ICELMACH.2010.5608161

BACHIRI, H., et al. Improved Direct Torque Control Strategy Performances of Electric Vehicles Induction Motor. International Journal of Power Electronics and Drive Systems (IJPEDS), v.13, n.2, p.716, 2022. DOI: https://doi.org/10.11591/ijpeds.v13.i2.pp716-723

M. ELBAR, A. SOULI, A. BELADEL, B. Ali, and A. Benhaimoura, “Impact study of flexible alternating current transmission system on power flow and power loss in power systems using MATLAB and PSAT”, SEES, vol. 4, no. 1, pp. 348–369, Dec. 2023. https://doi.org/10.54021/seesv4n1-021 DOI: https://doi.org/10.54021/seesv4n1-021

A. Bensalem, B. Toual, M. Elbar, M. Khaleel, and Z. Belboul, “A framework to quantify battery degradation in residential microgrid operate with maximum self-consumption based energy management system ”, SEES, vol. 5, no. 1, pp. 354–370, Feb. 2024. https://doi.org/10.54021/seesv5n1-021 DOI: https://doi.org/10.54021/seesv5n1-021

ANDRIOLLO, M. ; BETTANINI, G. ; MARTINELLI, G., et al. Analysis of Double-Star Permanent-Magnet Synchronous Generators by a General Decoupled d–q Model. IEEE Transactions on Industry Applications, v. 45, n. 4, p. 1416, 2009. DOI: https://doi.org/10.1109/TIA.2009.2023553

TAKAHASHI, I. ; NOGUCHI, T. A new quick-response and high-efficiency control strategy of an induction motor. IEEE Transactions on Industry applications, n. 5, p. 820, 1986. DOI: https://doi.org/10.1109/TIA.1986.4504799

CHAPUIS, Y. A. ; ROYE, D. ; et COURTINE, S. Commande directe du couple d'une machine asynchrone par le contrôle direct de son flux statorique. Journal de physique III, v. 5, n. 6, p. 863, 1995. DOI: https://doi.org/10.1051/jp3:1995165

Mohamed, ELBAR; Ahmed Zohair, DJEDDI; Hafaifa, Ahmed; Naas, CHARRAK; Iratni, Abdelhamid; and colak, ilhami (2023) "Evaluation of Reliability Indices for Gas Turbines Based on the Johnson SB Distribution: Towards Practical Development," Emirates Journal for Engineering Research: Vol. 28: Iss. 2, Article 5. https://scholarworks.uaeu.ac.ae/ejer/vol28/iss2/5.

BUETTNER, M. A.; MONZEN, N.; & HACKL, C. M. Artificial neural network based optimal feedforward torque control of interior permanent magnet synchronous machines: A feasibility study and comparison with the state-of-the-art. Energies, v.15, n. 5, p. 1838, 2022. DOI: https://doi.org/10.3390/en15051838

ELBAR M., MERZOUK I., BEALDEL A., REZAOUI M.M., IRATNI A., HAFAIFA A., “Power Quality Enhancement in Four-Wire Systems Under Different Distributed Energy Resource Penetration”, in Electrotehnica, Electronica, Automatica (EEA), 2021, vol. 69, no. 4, pp. 50-58, ISSN 1582-5175. https://doi.org/10.46904/eea.21.69.4.1108006. DOI: https://doi.org/10.46904/eea.21.69.4.1108006

M. Khaleel and M. Elbar, “Exploring the Rapid Growth of Solar Photovoltaics in the European Union”, Int. J. Electr. Eng. and sustain., vol. 2, no. 1, pp. 61–68, Feb. 2024. https://ijees.org/index.php/ijees/article/view/78.

BENBOUHENNI, H. Four-level direct torque control of permanent magnet synchronous motor based on neural networks with regulation speed using neural PI controller. Majlesi Journal of Mechatronic Systems, v. 8, n. 4, p. 1, 2019. DOI: https://doi.org/10.11648/j.ijiis.20190805.11

KRISHNAMOORTHY, S.; SANJEEVIKUMAR, P.; & HOLM‐NIELSEN, J. B. Torque ripple minimization of PMSM using an adaptive Elman neural network‐controlled feedback linearization‐based direct torque control strategy. International Transactions on Electrical Energy Systems, v. 31, n. 1, 2021. DOI: https://doi.org/10.1002/2050-7038.12685

RAMIREZ-LEYVA, F. H. ; TRUJILLO-ROMERO, F. ; CABALLERO-MORALES, S. O. ; et al. Direct Torque Control of a Permanent-Magnet Synchronous Motor with Neural Networks. In : 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP). IEEE, p. 71, 2014. DOI: https://doi.org/10.1109/CONIELECOMP.2014.6808570

ZEMMIT, A.; MESSALTI, S.; et HARRAG, A. Innovative improved direct torque control of doubly fed induction machine (DFIM) using artificial neural network (ANN-DTC). International Journal of Applied Engineering Research, v. 11, n. 16, p. 9099, 2016.

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Published

2024-04-05

How to Cite

Bachir, N., M’hamdi, B., Abderrahmane , A., & Badreddine, N. (2024). Double star permanent magnet synchronous machine: modified direct torque control. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(1), 974–987. https://doi.org/10.54021/seesv5n1-051