Title :
AN improved method of optimization for electrical machines
Author :
Liu, Xian ; Slemon, Gordon R.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fDate :
9/1/1991 12:00:00 AM
Abstract :
Methods of optimizing the design of electrical machines are discussed. The augmented Lagrangian multiplier method is described, and an algorithm for this method is introduced. The method is compared with the more familiar exterior penalty function method using, as an example, the cost optimization of permanent magnetic variable-speed drive motors. The improved method is shown to be superior, both in its ability to reach an optimum consistently and in the number of required iterations
Keywords :
electric machines; optimisation; augmented Lagrangian multiplier method; design optimization; electrical machines; Cost function; Current density; Design optimization; Electric machines; Electric motors; Lagrangian functions; Machinery; Manufacturing; Optimization methods; Permanent magnet motors;
Journal_Title :
Energy Conversion, IEEE Transactions on