基于神经网络的变负载转矩三相异步电动机节能新方案

D. Prince Winston, M. Saravanan, S. Arockia Edwin Xavier
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引用次数: 1

摘要

由于坚固、可靠、价格低廉和免维护运行,感应电动机在大多数工业应用中都得到了应用。由于能源需求的不断增加,节约能源的必要性日益增加。这些电机在能源密集型行业的影响是显著的总运行成本。本文介绍了一种基于神经网络的三相异步电动机节能新方案。在该节能方案中,针对不同的负载条件采用了电压补偿。本文采用神经网络对不同负载条件下的电压电平进行控制。利用神经网络对采用新节能方案的5 Hp、400V、50Hz、7.3A三相鼠笼式异步电动机进行了Matlab仿真。
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Neural Network Based New Energy Conservation Scheme for Three Phase Induction Motor Operating under Varying Load Torques
Due to robustness, reliability, low price and maintenance free operation, induction motors are used in most of the industrial applications. The need for energy conservation is increasing nowadays due to continuous increase in energy demand. The influence of these motors in energy intensive industries is significant in total operational cost. This paper describes a new energy conservation scheme for three phase induction motor with the help of neural network. In this new energy conservation scheme voltage compensation was employed for the various load conditions. Here neural network is used to control the voltage level for the various load conditions. Matlab simulation is done for 5 Hp, 400V, 50Hz and 7.3A three phase squirrel cage induction motor employing the new energy conservation scheme with the help of neural network.
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