摘要
针对变频温度智能控制存在时滞性大、控温效果差等问题,提出基于蚁群算法的变频空调室温智能控制方法。根据送风量变化线性范围,构建变频风阀开度送风量模型,实现基础变频风量控制。计算蚁群自适应输入函数,减小温度智能控制误差。计算蚂蚁搜索路径时的转移概率,不断更新规则调整搜索路径,设计负责控制温度的压力无关型变频箱控制回路。采用可变论域伸缩因子,分析输入和输出变量之间逻辑关系,实现对温度智能调整。由实验结果可知,利用该方法,可控制室内温度最高为25℃,与理想contour图绘制结果一致,说明该方法能够有效控制变频空调温度,同时保证室内温度。
Aiming at the problems of large time lag and temperature difference in the intelligent control of frequency conversion temperature,an intelligent control method of room temperature of variable frequency air conditioner based on ant colony algorithm is proposed.According to the linear range of air supply volume change,the open air supply model of the frequency conversion damper is constructed to realize the basic frequency conversion air volume control.The adaptive input function of ant colony is constructed to reduce the error of intelligent temperature control.It calculates the transfer probability when ants search for paths,constantly updates the rules to adjust the search path,and designs a pressure-independent inverter control loop responsible for controlling temperature.The variable domain expansion factor is used to analyze the logical relationship between input and output variables to realize intelligent temperature adjustment.It can be seen from the experimental results that the maximum indoor temperature is 25℃by using the research method,which is consistent with the ideal contour drawing results,shows that the proposed method can effectively control the temperature of inverter air conditioner and ensure the indoor temperature at the same time.
作者
白国政
Bai Guozheng(School of Information Engineering,Shaanxi Polytechnic Institute,Shaanxi Xianyang,712000,China)
出处
《机械设计与制造工程》
2023年第7期37-40,共4页
Machine Design and Manufacturing Engineering
关键词
蚁群算法
智能变频
室温控制
送风量模型
模糊规则
ant colony algorithm
intelligent frequency conversion
room temperature control
air supply model
fuzzy rules