基于模糊PID温度控制算法的建筑节能调温系统  

Energy-saving Temperature Regulating System Based on Fuzzy PID Temperature Control Algorithm

作　　者：王晓天 WANG Xiaotian

机构地区：[1]苏州大学能源学院,江苏苏州215031

出　　处：《科技创新与应用》2022年第17期6-10,共5页Technology Innovation and Application

摘　　要：传统空调房间的温度控制中,被控对象存在非线性、滞后大及时变复杂的问题。为保证温度控制的可靠稳定,将模糊PID控制算法引入室内温度控制,在整定参数后,可保证温控的快速性、稳定性和准确性。同时采用PMV-PPD舒适度模型,在不牺牲用户舒适度的情况下,尽可能地减少空调能耗。利用苏州典型年的气象数据,将温度控制算法投入运行,在偏差小于1.9℃(冬)和1.5℃(夏)的前提下,相比于传统恒定目标温度的空调系统,减少8.77%(冬)和12.31%(夏)的能耗。In temperature control of traditional HVAC system,the controlled object has the problems of nonlinearity,large time lag and time varying complexity.In order to ensure the reliability and stability,the fuzzy PID control algorithm is introduced to the indoor temperature control system.After parameter integration,the requirements of rapidity,stability and accuracy of temperature control can be satisfied.At the same time,PMV-PPD comfort model is adopted to reduce air conditioning energy consumption as much as possible without sacrificing user comfort.We use the meteorological data of typical years in Suzhou to put the temperature control algorithm into operation.Under the premise that the deviation is less than 1.9℃(winter)and 1.5℃(summer),compared with the traditional air conditioning system with constant target temperature,the energy consumption is reduced by 8.77%(winter)and 12.31%(summer).

关 键 词：模糊PID控制 温度控制 MATLAB仿真 节能 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]