文章基本信息

标题：Optimizing Electrical Power in A.C Controllable Motors with Artificial Neural Networks and Genetic Algorithm
本地全文：下载
作者：M. H. Molaei Ardakani ; A. Khodadadi ; A. Sakhavati 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：7-12
语种：English
出版社：Ayushmaan Technologies
摘要：In this paper the power consumption of an A.C. induction motor was optimized. To achieve this, various parameters of motor and outputs were obtained through tests .by using artificial neural network, the relations between input and output parameters were determined. Subsequently, for obtaining the minimum energy consumption with the maximum output, the parameters were optimized in three cases of maximum load, without load and average load (50% of the load capacity) using the genetic algorithm. Finally, the input parameters optimized values were entered into the trained model and optimized power values were calculated. The obtained values were tested in practice in all three cases and it was observed that the presented method could predict the optimized power for three cases of maximum load, without load and average load with 4.5% of accuracy.