基于灰色预测算法的中央空调温湿度自适应控制方法  

Adaptive Control Method for Temperature and Humidityof Central Air Conditioning Based on Grey Prediction Algorithm

作　　者：刘炎 LIU Yan(Infrastructure Department,Liaocheng Hospital of Traditional Chinese Medicine,Liaocheng 252000,China)

机构地区：[1]聊城市中医医院,基建科,山东聊城252000

出　　处：《微型电脑应用》2024年第8期220-223,共4页Microcomputer Applications

摘　　要：为了提升中央空调的控制性能、降低能耗,提出一种基于灰色预测算法的温湿度自适应控制方法。通过灰色预测算法预测中央空调的温湿度数据;采用双模糊PID控制器设计,将温度和湿度的预测结果与设定结果之间的误差及误差变化率作为输入参数,得到实际的中央空调温湿度控制量,实现温湿度的自适应控制。测试结果表明,该方法的温湿度数据预测平均误差小于0.25,控制性能良好,并且温湿度的控制结果与设定结果较为吻合,同时也能降低能耗。In order to improve the control performance of central air conditioning and reduce energy consumption,this paper proposes an adaptive control method of temperature and humidity based on grey prediction algorithm.This paper predicts the temperature and humidity data of central air conditioning by grey prediction algorithm.A dual fuzzy PID controller is designed,the error and error rate of change between the predicted result and set result of temperature and humidity are used as input parameters to obtain the actual temperature and humidity control quantity of the central air conditioning,achieving adaptive control of temperature and humidity.The test results show that the average prediction error of the temperature and humidity data of this method is less than 0.25.The control performance is good,the control result of temperature and humidity is consistent with the set results,and energy consumption is reduced.

关 键 词：灰色预测算法 中央空调 温湿度 自适应控制 双控制器 模糊化处理 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]