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间歇空调运行在建筑物使用前要把升高了的室温拉下到设定值。由于各种干扰量的随机性,要准确预测以多大的冷量进行预冷是不容易的。本文提出用模糊控制器的方法,模拟人脑的模糊推理过程,作出预冷量的模糊决策。把室温和室温变化率作为模糊控制器的两个输入集合,通过模糊关系 R,经过一定的模糊运算,可以得到一个控制策略。再经转换,可以得到准确无误的控制信号。
Intermittent air conditioning operates to pull the elevated room temperature down to the set point before the building is used. Due to the random nature of various disturbances, it is not easy to accurately predict how much cold the precooling will be. This paper proposes a fuzzy controller method to simulate the human brain’s fuzzy inference process and make a fuzzy decision on the amount of precooling. The room temperature and room temperature change rate are used as the two input sets of the fuzzy controller. Through the fuzzy relation R, a certain control strategy can be obtained after a certain fuzzy operation. After conversion, accurate and accurate control signals can be obtained.