MULTIOBJECTIVE STOCHASTIC OPTIMIZATION BY PARTICLE MULTISWARM OF ANISOTROPIC REGULATORS OF MULTIMASS ELECTROMECHANICAL SYSTEMS WITH PARAMETRIC UNCERTAINTY

  • Валерий Витальевич Коломиец Ukrainian Engineering and Pedagogical Academy
  • Борис Иванович Кузнецов Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine
  • Татьяна Борисовна Никитина Kharkiv National Automobile and Highway University
  • Виктор Витальевич Хоменко Ukrainian Engineering and Pedagogical Academy

Abstract

Developed a method for solving the problem of anisotropic regulators multiobjective synthesis of multimass electromechanical systems with parametric uncertainty based on the construction of the Pareto-optimal solutions with
help of multi-agent stochastic particle multiswarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of multimass electromechanical systems in different
modes.

Author Biographies

Валерий Витальевич Коломиец, Ukrainian Engineering and Pedagogical Academy

Candidate of Technical Sciences, Associate Professor

Борис Иванович Кузнецов, Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine

doctor of technical sciences, professor, department head

Татьяна Борисовна Никитина, Kharkiv National Automobile and Highway University

Doctor of Technical Sciences, Associate Professor, Head of the Department

Виктор Витальевич Хоменко, Ukrainian Engineering and Pedagogical Academy

Graduate student

Published
2019-03-06
How to Cite
Коломиец, В., Кузнецов, Б., Никитина, Т., & Хоменко, В. (2019). MULTIOBJECTIVE STOCHASTIC OPTIMIZATION BY PARTICLE MULTISWARM OF ANISOTROPIC REGULATORS OF MULTIMASS ELECTROMECHANICAL SYSTEMS WITH PARAMETRIC UNCERTAINTY. Electrotechnic and Computer Systems, (19(95), 37-40. Retrieved from https://eltecs.op.edu.ua/index.php/journal/article/view/1742
Section
Automated electromechanical systems

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