| Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC |
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| 作者姓名： | 方攸同 范承志 叶云岳 陈永校 |
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| 作者单位： | college of Electrical Engineering，Zhejiang University，college of Electrical Engineering，Zhejiang University，college of Electrical Engineering，Zhejiang University，college of Electrical Engineering，Zhejiang University Hangzhou 310027，China，Hangzhou 310027，China，Hangzhou 310027，China，Hangzhou 310027，China |
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| 基金项目： | Project (No .60 12 99)supportedbytheScienceFoundationofHebeiProvince，China |
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| 摘 要： | INTRODUCTIONMostcountrieshaveimplementednewpoli ciesontheenergysavingandenvironmentpro tection.AmericanPresidentBushsigned“TheComprehensiveNationalEnergyPolicyAct”in1992statingthatnogeneral purpose ,three phaseinductionmotorswillbeallowedintoUnit edStat…
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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 WT.,.BZ.Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC[J].Journal of Zhejiang University Science,2003(3). |
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| Authors: | FANG You tong FAN Cheng zhi YE Yun yue CHEN Yong xiao [WT BZ] |
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| Institution: | FANG You tong,FAN Cheng zhi,YE Yun yue CHEN Yong xiao [WT9.,10.BZ] |
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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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| Keywords: | Induction motor Global optimization Life cycle cost Energy efficient Genetic algorithm TABU algorithm |
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