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Application Research Of Improved Genetic Algorithm For Optimum Design Of The High Efficiency Three-phase Induction Motor

Posted on:2003-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:J C LiFull Text:PDF
GTID:2132360092975194Subject:Motor and electrical appliances
Abstract/Summary:PDF Full Text Request
All losses of the three-phase induction motor are analyzed completely. Based on the extensive study of high harmonic losses and stray load losses, methods to reduce losses and improve efficiency are presented.Through the research of Y-Δ connecting winding, detail calculation formulas of it's winding coefficient are derived . These results presented theoretical foundation for the application of Y-Δ connecting winding in high efficiency three-phase induction motor.The classical real-coded genetic algorithm (RGA) is analyzed. On this foundation, aimed at the deficiency existing, the improved real-coded genetic algorithm (IRGA) is proposed, which has self-adaptable mutation operator and multi-turns evolution strategy. According to the feature of optimum design of the three-phase induction motor, the optimal algorithm based on annealing penalty function for solving nonlinear restrained optimization problems is proposed. The results of three examples show that the improved algorithm has fine ability of global searching. These presented theoretical foundation for the optimum design of three-phase induction motor.The mathematical model of optimum electromagnetic design of the three-phase induction motor is studied and established. Based on the model, by Visual Basic5.0 on Windows operating platform, a software of electromagnetic optimum design of the three-phase induction motor is developed. The software contains the modules such as analysis, optimum design and data management. The electromagnetic optimum calculation results of Y series motors show that the operation performance and economic costs are not only satisfy national standards but also better than the current design scheme obviously.
Keywords/Search Tags:three-phase induction motor, Y-Δ connecting winding, optimum design, genetic algorithm
PDF Full Text Request
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