基于遗传算法的智能电炒锅优化控制研究

发布时间：2018-04-13 11:52

本文选题：电炒锅 + 智能控制　；参考：《计算机工程与应用》2017年22期

【摘要】：近年来,人们对家电智能化的要求越来越高,而各种智能家电也层出不穷。但因炒制过程较为复杂,难以对其实现较为精确的智能控制。为了解决此问题,通过最基本的热传导公式推导出了电炒锅的热传导模型,通过遗传算法对模型的参数进行训练,使模型在不同的情况下均能较为准确地模拟电炒锅温度的变化情况。基于此模型,提出了电炒锅的控制方案。对电炒锅模型下一时刻的温度变化进行预测,根据需求计算出电炒锅最佳功率,使电炒锅在炒制过程中能够始终保持需要的温度,同时尽可能减少电炒锅功率的波动,从而降低电炒锅功率控制器件的损耗。通过实验验证了此控制方案在不同的烹饪阶段均能够较好地实现炒锅的智能控制,达到维持锅内温度,提高能源利用效率的目的。
[Abstract]:In recent years, people have higher and higher demand for intelligent home appliances, and a variety of intelligent home appliances are emerging in endlessly.However, because of the complexity of the speculation process, it is difficult to achieve more accurate intelligent control.In order to solve this problem, the heat conduction model of electric frying pot is deduced through the most basic heat conduction formula, and the parameters of the model are trained by genetic algorithm.The model can accurately simulate the temperature change of electric wok under different conditions.Based on this model, the control scheme of electric wok is put forward.The temperature change of the electric wok model at the next moment is predicted, and the optimum power of the electric wok is calculated according to the demand, so that the electric wok can always maintain the required temperature during the process of cooking, and at the same time reduce the fluctuation of the power of the electric wok as much as possible.Thus reducing the loss of power control device of electric wok.The experiments show that this control scheme can achieve the intelligent control of the wok in different cooking stages, and achieve the purpose of maintaining the temperature in the pot and improving the efficiency of energy utilization.
【作者单位】：国网江西省电力公司电力科学研究院;北京国电通网络技术有限公司互联网业务部;华北电力大学电气与电子工程学院;
【基金】：国家电网公司科技项目(No.521820150007)
【分类号】：TM925.52;TP18

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