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Based On Multi-objectivelmmune Clone Algorithm For Three-phase Asynchronous Motor Optimization

Posted on:2013-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q ZhengFull Text:PDF
GTID:2232330371499757Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
The optimization design technology of the motor is not only a subject of practical significance, but also a hot research topic because it is widely used in industry and the electric consumption of which is more than half of the total amount of power every year.Based on the research of multi-objective immune clone algorithm(MOICA), this thesis uses it for the optimization design of three-phase asynchronous motor. The main contents are as follows:l.The principle and characteristics of the multi-objective immune cloning algorithm programming are studied. The algorithm is programmed and is verified by six classical test function.2.Based on the understanding of the structure and operation principle for three-phase induction motor, the mathematical model of multi-objective optimization design for three-phase asynchronous motor is established, and the optimization variables, objective functions and constraints are determined.3.The multi-objective immune cloning algorithm is applied to the multi-objective optimization system for three-phase induction motor, and the typical different specifications of the motor are optimized. The results are compared to the algorithms of our group has designed to verify the practicality of multi-objective immune clone algorithm.The work of the paper is supported by important science&technology specific projects of Zhejiang (2008C01011-1).
Keywords/Search Tags:Three-phase asynchronous motor, Optimal design, Mathematical model, Immune clone algorithm for multi-objective
PDF Full Text Request
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