| Abstract: | For an energy-efficient induction machine, the life-cycle cost (LCC) usually is the most important index to the consumer.
With this target, the optimization design of a motor is a complex nonlinear problem with constraints. To solve the problem,
the authors introduce a united random algorithm. At first, the problem is divided into two parts, the optimal rotor slots
and the optimization of other dimensions. Before optimizing the rotor slots with genetic algorithm (GA), the second part is
solved with TABU algorithm to simplify the problem. The numerical results showed that this method is better than the method
using a traditional algorithm.
Project (No. 601299) supported by the Science Foundation of Hebei Province, China. |
