关键词: 电炒锅, 智能控制, 遗传算法

Abstract: In recent years, the requirement of intelligent appliances of people is higher and higher, and all sorts of intelligent 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 realize the intelligent control to maintain the temperature in the electric frying pan in any stage and improve the energy efficiency through the experiment.

Key words: electric frying pans, intelligent control, genetic algorithm