Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC.
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.
Fang
You-Tong
YT
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China. youtong@zju.edu.cn
Fang
Cheng-Zhi
CZ
Ye
Yun-Yue
YY
Chen
Yong-Xiao
YX
D000465:Algorithms; D017076:Computer-Aided Design; D004735:Energy Transfer; D004867:Equipment Design / Q000379:methods*; D004864:Equipment and Supplies / Q000191:economics; D008280:Magnetics / Q000295:instrumentation*; D009038:Motion; D011786:Quality Control; D013269:Stochastic Processes