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Refrigerator temperature control using fuzzy logic and neural network

机译:基于模糊逻辑和神经网络的冰箱温度控制

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This paper describes the quick and precise control method for domestic refrigerators. The proposed controller is based on the fuzzy logic and neural network designed maintaining the constant inner temperature of the refrigerator and improving the refrigerator efficiency. The fuzzy logic controller is used to maintain the inner temperature in spite of the environmental variations such as the outer temperature change or the volume change of the stored foods of the refrigerator. A neural network is used and trained to recognize the user-pattern such as the number of door openings of the refrigerator. The 1st order approximated model of the refrigerator is used for the simulation. Through the simulation in the case of the outer temperature change like summer or winter, the proposed fuzzy logic controller with a neural network is shown to be more efficient than the conventional on-off controller.
机译:本文介绍了家用冰箱的快速精确控制方法。所提出的控制器基于模糊逻辑和神经网络,旨在保持冰箱内部恒定温度并提高冰箱效率。尽管环境变化,例如外部温度变化或冰箱存储食物的体积变化,模糊逻辑控制器仍可用于保持内部温度。使用并训练了神经网络来识别用户模式,例如冰箱门的数量。冰箱的一阶近似模型用于仿真。通过在夏季或冬季等外部温度变化情况下的仿真,所提出的带有神经网络的模糊逻辑控制器被证明比常规的开关控制器更有效。

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