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Received: 2002-01-18

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Bio-Design and Manufacturing  2021 Vol.4 No.3 P.270~275

10.1631/jzus.2003.0270


Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC


Author(s):  FANG You-tong, FAN Cheng-zhi, YE Yun-yue, CHEN Yong-xiao

Affiliation(s):  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   youtong@zju.edu.cn

Key Words:  Induction motor, Global optimization, Life-cycle cost, Energy-efficient, Genetic algorithm, TABU algorithm


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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 D, 2021, 4(3): 270~275.

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A1 - CHEN Yong-xiao
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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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Reference

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