Skip to main content

Determination of Parameters and Limiting Characteristics of a Synchronous Reluctance Motor

  • Conference paper
  • First Online:
International Scientific Siberian Transport Forum TransSiberia - 2021 (TransSiberia 2021)

Abstract

This paper presents a method for identifying the parameters of a Synchronous Reluctance Motor (SynRM) with anisotropic magnetic conductivity of the rotor for the implementation of optimal control algorithms. An algorithm is given for selecting the operating supply voltage, operating magnetization currents and load for optimal control of an electric machine according to the criterion of ensuring the maximum value of the electromagnetic moment (power). In this case, the restrictions imposed on the parameters of the electric machine are used - the current and the maximum permissible supply voltage. A method for constructing the limiting characteristics of a SynRM with anisotropic magnetic conductivity of the rotor is presented. The proposed method has been tested on prototypes of SynRM of a wide power range from 1.5 kW to 1.7 MW and the results of testing this technique on a prototype of an electric machine with an anisotropic magnetic conductivity of a 500 kW rotor are presented. The possibility of increasing the value of the rated power of a SynRM with anisotropic magnetic conductivity of the rotor and expanding the areas of its limiting characteristics by identifying the parameters of the electric machine, determining its operating supply voltage, operating magnetization currents and load, as well as using an optimal control algorithm is shown.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ruba, M., Jurca, F., Martis, C., Martis, R., Piglesan, P.F.: Analysis of maximum torque per ampere control strategy for variable reluctance synchronous machines for traction applications. In: 2014 International Conference and Exposition on Electrical and Power Engineering (EPE) IASI 2014, pp. 322-326 (2014). https://doi.org/10.1109/ICEPE.2014.6969921

  2. Bedetti, N., Calligaro, S., Petrella, R.: Stand-still self-identification of flux characteristics for synchronous reluctance machines using novel saturation approximating function and multiple linear regression. IEEE Trans. Ind. Appl. 52(4), 3083–3092 (2016). https://doi.org/10.1109/TIA.2016.2535413

    Article  Google Scholar 

  3. Truong, P.H., Flieller, D., Nguyen, N.K., Bao, A.N., Hung, N.D.: Inductance identification of synchronous reluctance motors using capacitor discharge method. In: 2019 International Symposium on Electrical and Electronics Engineering (ISEE), Ho Chi Minh, Vietnam, pp. 1–4 (2019). https://doi.org/10.1109/ISEE2.2019.8920947

  4. Jeong, I., Gu, B., Kim, J., Nam, K., Kim, Y.: Inductance estimation of electrically excited synchronous motor via polynomial approximations by least square method. IEEE Trans. Ind. Appl. 51(2), 1526–1537 (2015). https://doi.org/10.1109/TIA.2014.2339634

    Article  Google Scholar 

  5. Yamamoto, S., Ara, T., Matsuse, K.: A Method to calculate transient characteristics of synchronous reluctance motors considering iron loss and cross-magnetic saturation. IEEE Trans. Ind. Appl. 43(1), 47–56 (2007). https://doi.org/10.1109/TIA.2006.887234

    Article  Google Scholar 

  6. Combes, P., Malrait, F., Martin, P., Rouchon, P.: Modeling and identification of synchronous reluctance motors. In: 2017 IEEE International Electric Machines and Drives Conference (IEMDC), Miami, FL, pp. 1–6 (2017). https://doi.org/10.1109/IEMDC.2017.8002195

  7. Tuovinen, T., Hinkkanen, M., Luomi, J.: Analysis and design of a position observer with resistance adaptation for synchronous reluctance motor drives. In: IEEE Energy Conversion Congress and Exposition, Phoenix, AZ, pp. 88–95 (2011). https://doi.org/10.1109/ECCE.2011.6063753

  8. Goncalves, A.P., Cruz, S.M.A., Ferreira, F.J.T.E., Mendes, A.M.S., De Almeida, A.T.: Synchronous reluctance motor drive for electric vehicles including cross-magnetic saturation. In: 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), Coimbra, pp. 1–6 (2014). https://doi.org/10.1109/VPPC.2014.7007140

  9. Pellegrino, G., Boazzo, B., Jahns, T.M.: Magnetic model self-identification for PM synchronous machine drives. IEEE Trans. Ind. Appl. 51(3), 2246–2254 (2015). https://doi.org/10.1109/TIA.2014.2365627

    Article  Google Scholar 

  10. Armando, E., Bojoi, R.I., Guglielmi, P., Pellegrino, G., Pastorelli, M.: Experimental identification of the magnetic model of synchronous machines. IEEE Trans. Ind. Appl. 49(5), 2116–2125 (2013). https://doi.org/10.1109/TIA.2013.2258876

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Belousov, I., Gelver, F. (2022). Determination of Parameters and Limiting Characteristics of a Synchronous Reluctance Motor. In: Manakov, A., Edigarian, A. (eds) International Scientific Siberian Transport Forum TransSiberia - 2021. TransSiberia 2021. Lecture Notes in Networks and Systems, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-96380-4_157

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-96380-4_157

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96379-8

  • Online ISBN: 978-3-030-96380-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics