集中供暖室内温度分布式控制与优化研究*
Distributed indoor temperature control and optimization of centralized heating system
摘要：
考虑相邻各室之间室温的影响，基于状态空间法建立了室内温度控制数学模型，并进行了验证分析。基于分布式群控思想，采用模型预测控制方法对整栋建筑室内温度进行了控制与优化。实验结果表明：在相同室内外环境下，所建立的室内温度控制数学模型能够较好地反映实际室内温度和阀门开度；基于分布式的室内温度模型预测控制能够有效地调节室内温度并稳定跟踪整栋建筑各房间室内温度设定值，相较于传统温控阀控制方式所需供热量减少14.28%。
Abstract：
Considering the influence of indoor temperature between adjacent rooms, establishes a mathematical model of indoor temperature control based on the state space method and carries out the verification. Based on the idea of distributed group control, controls and optimizes the indoor temperature of the whole building by the model predictive control method. The experimental results show that under the same indoor and outdoor environment, the established indoor temperature control mathematical model can well reflect the actual indoor temperature and valve opening. The predicted control based on distributed indoor temperature model can effectively adjust the indoor temperature and stably track the indoor set temperature of the whole building, which reduces the heat supply by 14.28% compared with the traditional thermostat control method.
Keywords:centralizedheating,indoortemperature,distributedcontrol,modelpredictivecontrol,valveopening