Modified grey wolf method for optimization of PM motors

Abstract

The paper presents an algorithm and computer software for the optimization of electromagnetic devices. The mathematical model of the optimization method was presented. The modification of the classical grey wolf algorithm was developed. The modification consists in decreasing the coefficient responsible for the possibility of migration individuals in the permissible area of solved task. The optimization procedure was elaborated in the Borland Delphi environment. The optimization of the rotor of the line-start permanent magnet synchronous motor has been carried out. It has been pointed out that the grey wolf algorithm is effective method for optimization of electromagnetic devices.

Grey Wolf Optimizer in Design Process of the Recurrent Wavelet Neural Controller Applied for Two-Mass System

“…If a better solution is needed, the exploration stage must be extended by altering Equation (35). The distance between the three best points (Xα, Xβ, and Xδ) and the solution candidate can be calculated using Equations ( 39)- (41).…”

“…All the steps of the GWO algorithm are pictured below in a block diagram in Figure 4. The distance between the three best points (X α , X β , and X δ ) and the solution candidate can be calculated using Equations ( 39)- (41).…”

“…Reduction in the area of searching in the application of the algorithm in the design process of the electrical machine (PM motor) can lead to faster results. For this purpose, new definitions of variable elements used in calculations are analyzed [41]. This was an inspiration for the new version of the modified Grey Wolf Optimizer (mGWO) described in this paper.…”

Archives of Electrical Engineering

“…The application of meta-heuristic algorithms is increasing in proportion to the complexity of research problems. Various algorithms were used in electrical engineering-related research problems, for example, economic load dispatch problems [17], optimal power flow [18], or electrical machines [19,[21][22][23]. The grey wolf optimizer (GWO) is one of the most commonly used algorithms in the literature.…”

“…It has been successfully applied to line-start induction motors [24], low-power-line-start motors [22], and PM synchronous motors [21]. Further, the non-linear variations have been incorporated into the GWO and improved its performance characteristics in the application of electromagnetic devices [19]. Based on the various studies, this paper proposes a new variant of the grey wolf optimizer (GWO) based on the weighting function with a better balance between exploration and exploitation phases as well as faster convergence towards the optimal solution.…”