Skip to main content

Advertisement

SpringerLink
Log in

Maximum torque per ampere control of IPMSM drive by fuzzy logic

  • Technical Paper
  • Published:
Microsystem Technologies Aims and scope Submit manuscript

Abstract

This paper mainly focuses on studying the torque control with maximum torque per ampere (MTPA) technique based on fuzzy theory and without dealing with complex computation of torque control optimization for the interior permanent magnet synchronous motor (IPMSM). The IPMSM control system generally includes position, velocity and current loops. The speed command will compare with the actual speed sensed from an encoder to generate the inner-loop current command. Analog-to-digital converters (ADCs) receive the phase current data from current transducers so that the difference between the current commands and the sensed data will be processed to be the motor drive signals. In addition, the space vector pulse-width modulation (SVPWM) is employed in the firmware architecture of microcontroller unit (MCU). Generally, the MTPA spends considerable computation such that a high level chip is indispensable. This paper proposes fuzzy MTPA control to improve it. Finally, dsPIC30F4011 from Microchip based IPMSM drive system verifies the proposed method.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Bolognani S, Petrella R, Prearo A, Sgarbossa L (2011) Automatic tracking of MTPA trajectory in IPM motor based on AC current injection. IEEE Trans Ind Appl 47:105–113

    Article  Google Scholar 

  • Bolognani S, Calligaro S, Petrella R (2014) Adaptive flux-weakening controller for interior permanent magnet synchronous motor drives. IEEE J Emerg Sel Top Power Electron 2:236–248

    Article  Google Scholar 

  • Chy MMI, Uddin MN (2009) Development and implementation of a new adaptive intelligent speed controller for IPMSM drive. IEEE Trans Ind Appl 45:1106–1115

    Article  Google Scholar 

  • Ibrahim Z, Levi E (2002) A comparative analysis of fuzzy logic and PI speed control in high performance AC drives using experimental approach. IEEE Trans Ind Appl 38:1210–1218

    Article  Google Scholar 

  • Inoue T, Inoue Y, Morimoto S, Sanada M (2016) Maximum torque per ampere control of a direct torque-controlled PMSM in a stator flux linkage synchronous frame. IEEE Trans Ind Appl 52:2360–2367

    Article  Google Scholar 

  • Kim H, Hartwig J, Lorenz RD (2002) Using on-line parameter estimation to improve efficiency of IPM machine drives. In: Proceedings of the power electron spec conf, pp 815–820

  • Lazari P, Wang J, Chen L (2014) A computationally efficient design technique for electric vehicle traction machines. IEEE Trans Ind Appl 50:3203–3213

    Article  Google Scholar 

  • Mohamed YARI, Lee TK (2006) Adaptive self-tuning MTPA vector controller of IPMSM drive system. IEEE Trans Energy Convers 21:636–644

    Article  Google Scholar 

  • Pan CT, Sue SM (2005) A linear maximum torque per ampere control for IPMSM drives over full-speed range. IEEE Trans Energy Convers 20:359–366

    Article  Google Scholar 

  • Rubaai A, Rickattes D, Kankam MD (2002) Development and implementation of an adaptive fuzzy-neural network controller for brushless drives. IEEE Trans Ind Appl 38:441–447

    Article  Google Scholar 

  • Sun T, Wang J, Xiao C (2015) Maximum torque per ampere (MTPA) control for interior permanent magnet synchronous machine drives based on virtual signal injection. IEEE Trans Power Electron 30:5036–5045

    Article  Google Scholar 

  • Sun T, Wang J, Mikail K (2016) Virtual signal injection-based direct flux vector control of IPMSM drives. IEEE Trans Ind Electron 63:4773–4782

    Google Scholar 

  • Uddin MN, Khastoo J (2014) Fuzzy logic-based efficiency optimization and high dynamic performance of IPMSM drive system in both transient and steady-state conditions. IEEE Trans Ind Appl 50:4251–4259

    Article  Google Scholar 

  • Uddin MN, Rahman MA (2007) High speed control of IPMSM drives using improved fuzzy logic algorithms. IEEE Trans Ind Electron 54:190–199

    Article  Google Scholar 

  • Uddin MN, Rebeiro RS (2011) Online efficiency optimization of a fuzzy-logic-controller-based IPMSM drive. IEEE Trans Ind Appl 47:1043–1050

    Article  Google Scholar 

  • Uddin MN, Radwan TS, Rahman MA (2002) Performance of interior permanent magnet motor drive over wide speed range. IEEE Trans Energy Convers 17:79–84

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to express their appreciation to Ministry of Science and Technology, Taiwan under contract No. 104-2221-E-218-025- for financial supporting.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

    Ming-Shyan Wang, Ying-Shieh Kung & Guan Ting Lin

  2. Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan City, Taiwan

    Min-Fu Hsieh

Authors
  1. Ming-Shyan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Min-Fu Hsieh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ying-Shieh Kung
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guan Ting Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ming-Shyan Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, MS., Hsieh, MF., Kung, YS. et al. Maximum torque per ampere control of IPMSM drive by fuzzy logic. Microsyst Technol 24, 19–26 (2018). https://doi.org/10.1007/s00542-016-3119-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00542-016-3119-5

Search

Navigation