Title :
Optimal design of linear oscillatory actuator using genetic algorithm
Author :
Enomoto, H. ; Harada, K. ; Ishihara, Y. ; Todaka, T. ; Hirata, K.
Author_Institution :
Dept. of Electr. Eng., Doshisha Univ., Kyoto, Japan
fDate :
9/1/1998 12:00:00 AM
Abstract :
This paper presents the optimal design method of a linear oscillatory actuator (LOA) using the genetic algorithm (GA). In this method, the GA is coupled with a 2D-dynamic analysis code based on the finite element method (FEM) to obtain the optimal geometry which can give a satisfactory dynamic performance. In order to take the motion of the LOA into consideration, the finite element meshes are automatically regenerated using Delaunay triangulation. The utility of this method is verified through the comparison of the performances of the optimal geometry and those of the initial geometry
Keywords :
electric actuators; electric machine CAD; genetic algorithms; linear motors; mesh generation; 2D-dynamic analysis code; CPU time; Delaunay triangulation; FEM; GA; design optimisation; dynamic performance; finite element method; genetic algorithm; linear oscillatory actuator; optimal geometry; Algorithm design and analysis; Design methodology; Feedback control; Finite element methods; Genetic algorithms; Geometry; Hydraulic actuators; Optimization methods; Performance analysis; Stators;
Journal_Title :
Magnetics, IEEE Transactions on