An Analysis of Simulation of Neural Network Controlled BLDC Drive

Authors

  • Fefi Pinhiero  EEE Department, Rajagiri School of Engineering and Technology Kochi, Kerala, India
  • Prathibha P. K  EEE Department, Rajagiri School of Engineering and Technology Kochi, Kerala, India

Keywords:

Brushless Direct Current (BLDC), Artificial Neural Networks (ANN), Interleaved Boost Converter (IBC).

Abstract

A new BLDC motor drive with improved performance characteristics is proposed. Solar energy is used at the supply end and an interleaved boost converter is added to improve the power supply. The proposed model shows the sensored control of BLDC motor and hall sensors are integrated in the circuitry for this purpose. ANN provides the control circuitry and the whole set up is developed in MATLAB/SIMULINK.

References

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  2. Bist and B. Singh, “An adjustable speed PFC bridgeless buck-boost converter fed BLDC motor drive,” IEEE Trans. Ind. Electron., vol. 61,no. 6, pp. 2665–2677, Jun. 2014.
  3. Estima and A. J. Marques, “A new algorithm of PMSM control in PWM fed drives using reference current errors,” IEEE Trans. Ind. Electron.,vol. 60, no. 8, pp. 3496–3505, Aug. 2013.
  4. Rajasekaran and G. A. VijayalakshmiPai, “Neural Networks, Fuzzy Logic and Genetic Algorithms”,New Delhi: PHI Learning Private Limited,pp.1-439,Jul. 2012.
  5. Ahmad S. Samosir,Taufiq,Abd J. Shafie and Abdul H. M. Yatim, “Simulation and Implementation of Interleaved Boost DC-DC Converter for Fuel Cell Application”, IJPEDS,vol.1,No.2,pp.168-174,Dec. 2011.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-08-30

Issue

Volume 2, Issue 4, July-August-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Fefi Pinhiero, Prathibha P. K, " An Analysis of Simulation of Neural Network Controlled BLDC Drive, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.532-536, July-August-2016.