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Constrained optimization of line-start PM motor based on the gray wolf optimizer
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Institute of Electrical Engineering and Electronics, Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, ul. Piotrowo 3A, 60-965 Poznań, Poland
Publication date: 2021-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(1):1-10
  • Constrained optimization procedure for the linestart permanent magnet motor.
  • The mathematical model of designed motor was developed on the basis of Finite Element Method (FEM).
  • The objective function contains product of multiplication of three maintenance parameters of the motor.
  • The performance reliability of three heuristic algorithm was compared, i.e. (a) GWO, (b) PSO, (c) BA and (d) GA.
This paper presents the algorithm and computer software for constrained optimization based on the gray wolf algorithm. The gray wolf algorithm was combined with the external penalty function approach. The optimization procedure was developed using Borland Delphi 7.0. The developed procedure was then applied to design of a line-start PM synchronous motor. The motor was described by three design variables which determine the rotor structure. The multiplicative compromise function consisted of three maintenance parameters of designed motor and one non-linear constraint function was proposed. Next, the result obtained for the developed procedure (together with the gray wolf algorithm) was compared with results obtained using: (a) the particle swarm optimization algorithm, (b) the bat algorithm and (c) the genetic algorithm. The developed optimization algorithm is characterized by good convergence, robustness and reliability. Selected results of the computer simulation are presented and discussed.
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