DESIGN OF SYNCHRONOUS GENERATOR WITH PERMANENT MAGNETS BASED ON GENETIC ALGORITHM

Authors

  • V. M. Sineglazov National Aviation University, Kyiv
  • V. A. Kopaniev National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.59.13641

Keywords:

Synchronous generator with permanent magnets, multicriteria optimization, genetic algorithm

Abstract

The synchronous generator with permanent magnets is proposed as an effective mean for transformation mechanical energy in electrical one under its use in wind energy plant with vertical rotors. It is considered the design problem of synchronous generator with permanent magnets. It is shown that this problem is the problem of conditional multicriteria optimization. The objective functions of this task are: machine cost, energy loss, weight loss, torque of rotation. The approach of its transformation into unconditional multicriteria optimization is proposed. Based on analysis of magnetic field it is determined the basic parameters of generator which strong influence on its efficiency. For the problem solution of given problem it is used the genetic algorithm. The structure of chromosome is determined. The results of design are represented.

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Education&Scientific Institute of Information-Diagnostics Systems

Doctor of Engineering Science. Professor. Head of the Department

orcid.org/0000-0002-3297-9060

,

V. A. Kopaniev, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Education&Scientific Institute of Information-Diagnostics Systems

Post-graduate student. Master

References

T. J. E. Miller, Brushless Permanent Magnet and Reluctance motor drive. New York; Oxford: Clarendon Press, 1989, 207 p.

T. R. Brahman, Multi-criteria and choice of alternative technique. Moscow: Radio and communication, 1984, 287 p. (in Russian)

R. L. Kiney and X. Rayfa, Decision-making under many criteria: preferences and substitutions. Moscow: Radio and communication, 1981, 560 p. (in Russian)

Matthias Ehrgott, Multicriteria Optimization. 2nd. Springer-Verlag Berlin Heidelberg, 2005, 323 p.

J. Le Besnerais and [et al.], “Multiobjective Optimization of Induction Machines Including Mixed Variables and Noise Minimization,” IEEE Transactions on Magnetics. vol. 44, no. 6, 2008, pp. 1102–1105.

A. V. Lotov and I. I. Pospelova, Multi-criteria tasks of decision making: manual. Moscow: MAKS Press, 2008, 197 p.

S. B. Andersen, I. F. Santos, “Evolution strategies and multi-objective optimization of permanent magnet motor,” Applied Soft Computing, vol. 12, no. 2, pp. 778–792, 2012.

Y. N. Petrenko and S. E. Alavi, “Fuzzy logic and genetic algorithm technique for non-liner system of overhead crane,” Proceedings of the IEEE Region 8 SIBIRCON-2010, Irkutsk Listvyanka, Russia, July 11–15, 2010, pp. 848–851.

D. T. Schwartz, “Interactive methods of solving the problem of multicriteria optimization. Review,” 2013, no. 4. Access mode: http://technomag.edu.ru/doc/547747. html - Access date: 28.11.2016.

Ngo, Phyong Le, and G. I. Gulkov, Equivalent circuit diagram of the synchronous motor magnetic circuit with incorporated magnets. Moscow: Energetics, no. 4, 2015, pp. 13–14.

S. Morimoto, and et al., “Expansion of operating limits for permanent magnet motor by current vector control considering inverter capacity,” IEEE Transactions on Industry Applications, vol. 26, no. 5, 1990, pp. 866–871.

M. Kamiya, “Development of traction drive motors for the Toyota hybrid systems,” IEEJ Transactions on Industry Applications, vol. 126, no. 4, Apr. 2006, pp. 473–479.

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COMPUTER-AIDED DESIGN SYSTEMS