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CLC number: TM343.2
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Received: 2002-01-18
Revision Accepted: 2002-06-06
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Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC
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FANG You-tong, FAN Cheng-zhi, YE Yun-yue, CHEN Yong-xiao. Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC[J]. Journal of Zhejiang University Science A, 2003, 4(3): 270-275.
@article{title="Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC",
author="FANG You-tong, FAN Cheng-zhi, YE Yun-yue, CHEN Yong-xiao",
journal="Journal of Zhejiang University Science A",
volume="4",
number="3",
pages="270-275",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0270"
}
%0 Journal Article
%T Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC
%A FANG You-tong
%A FAN Cheng-zhi
%A YE Yun-yue
%A CHEN Yong-xiao
%J Journal of Zhejiang University SCIENCE A
%V 4
%N 3
%P 270-275
%@ 1869-1951
%D 2003
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0270
TY - JOUR
T1 - Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC
A1 - FANG You-tong
A1 - FAN Cheng-zhi
A1 - YE Yun-yue
A1 - CHEN Yong-xiao
J0 - Journal of Zhejiang University Science A
VL - 4
IS - 3
SP - 270
EP - 275
%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2003.0270
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.
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