计算机工程与应用2017，Vol.53Issue(22)：243-248,6.DOI:10.3778/j.issn.1002-8331.1605-0375
基于遗传算法的智能电炒锅优化控制研究
Optimal control research of intelligent electric frying pan based on genetic algorithm
摘要
Abstract
In recent years, the requirement of intelligent appliances of people is higher and higher, and all sorts of intel-ligent home appliances also emerge in endless. But because of the complexity in the cooking process, it is difficult to achieve precise control of the electric frying pan. To solve this problem, a heat transfer model of the electric frying pan is put forward, which is based on the basic heat transfer equation. Then the parameters of the model are trained using the genetic algorithm, let the model can simulate the change of temperature of the electric frying pan accurately in different circumstances. Based on this model, a control scheme of electric frying pan is put forward. Firstly, the model predicts the change of the temperature of the electric frying pan, then calculates the best power according to the demand, makes it keep the temperature needed all the time, and reduces the power fluctuations as far as possible at the same time, which can reduce the wastage of the electric frying pans power control device. Finally, the control scheme is verified that it can real-ize the intelligent control to maintain the temperature in the electric frying pan in any stage and improve the energy effi-ciency through the experiment.关键词
电炒锅/智能控制/遗传算法Key words
electric frying pans/intelligent control/genetic algorithm分类
信息技术与安全科学引用本文复制引用
何伟,庄斌,刘迪,李琳,吴晓江,孙毅..基于遗传算法的智能电炒锅优化控制研究[J].计算机工程与应用,2017,53(22):243-248,6.基金项目
国家电网公司科技项目(No.521820150007). （No.521820150007）
