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Speed Control of Permanent Magnet Synchronous Motor Using FOC Neural Network

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Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

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Abstract

This paper presents the performance analysis of the field oriented control for a permanent magnet synchronous motor drive with a proportional-integral-derivative and artificial neural network controller in closed loop operation. The mathematical model of permanent magnet synchronous motor and artificial neural network algorithm is derived. While, the current controlled voltage source inverter feeding power to the motor is powered from space vector pulse width modulation current controlled converter. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results prove the proposed artificial neural network controller produce significant improvement control performance compare to the proportional-integral-derivative controller for both condition controlling speed reference variations and constant load. It can conclude that by using proposed controller, the overshoot, steady state error and rise time can be reducing significantly.

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Acknowledgments

All the authors would like to express a sincere acknowledgments to Universiti Tun Hussein Onn Malaysia for the valuable support during completion this research and manuscript.

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Authors and Affiliations

  1. Electrical Power Department, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, 86400, Johor, Malaysia

    Nooradzianie Muhd. Zin, Wahyu Mulyo Utomo, Zainal Alam Haron, Azuwien Aida Bohari & Sy Yi Sim

  2. Robotic and Mechatronic Department, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, 86400, Johor, Malaysia

    Roslina Mat Ariff

Authors
  1. Nooradzianie Muhd. Zin
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  2. Wahyu Mulyo Utomo
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  3. Zainal Alam Haron
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  4. Azuwien Aida Bohari
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  5. Sy Yi Sim
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  6. Roslina Mat Ariff
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Corresponding author

Correspondence to Nooradzianie Muhd. Zin .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Seoul, Republic of South Korea

    James J. (Jong Hyuk) Park

  2. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  3. Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  4. Humanitas College, Kyung Hee University, Seoul, Republic of South Korea

    Hwa Young Jeong

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Zin, N.M., Utomo, W.M., Haron, Z.A., Bohari, A.A., Sim, S.Y., Ariff, R.M. (2013). Speed Control of Permanent Magnet Synchronous Motor Using FOC Neural Network. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_31

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_31

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

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