Genetic Algorithm Based Shape Optimization Method of DC Solenoid Electromagnetic Actuator

Authors

  • Eduard Plavec Switchgear and Controlgear Department KONČAR Electrical Engineering Institute, Inc., Zagreb, 10 000, Croatia
  • Ivo Uglešić Department of Energy and Power Systems Faculty of Electrical Engineering and Computing, Zagreb, 10 000, Croatia
  • Mladen Vidović Switchgear and Controlgear Department KONČAR Electrical Engineering Institute, Inc., Zagreb, 10 000, Croatia

Keywords:

Electromagnetic actuator, finite element method, genetic algorithm, shape optimization, solenoid

Abstract

This paper presents the method for the shape optimization of the DC solenoid electromagnetic actuator using a genetic algorithm. Numerical simulation of its transient response includes simultaneously solving differential equations of magnetic, electrical and mechanical subsystems. The magnetic subsystem is analyzed by finite element method (FEM), while the electrical and mechanical subsystems are modeled separately and mutually coupled. A modified genetic algorithm is programmed in MATLAB software package. The shape optimization has been performed on two-dimensional (2D) axial-symmetric model of electromagnetic actuator. The measurement results obtained after the production and testing of electromagnetic actuator are compared with results of numerical simulation.

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References

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Published

2021-07-25

How to Cite

Eduard Plavec, Ivo Uglešić, & Mladen Vidović. (2021). Genetic Algorithm Based Shape Optimization Method of DC Solenoid Electromagnetic Actuator. The Applied Computational Electromagnetics Society Journal (ACES), 33(03), 325–334. Retrieved from https://journals.riverpublishers.com/index.php/ACES/article/view/9225

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