Adaptive Control Method for Temperature and Humidity of Central Air Conditioning Based on Grey Prediction Algorithm
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 pa-rameters to obtain the actual temperature and humidity control quantity of the central air conditioning,achieving adaptive con-trol 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.
grey prediction algorithmcentral air conditioningtemperature and humidityadaptive controldual controllerfuzzification processing
万方数据
维普
