智能建筑室内环境恒温优化控制仿真研究

发布时间：2018-08-03 13:15

【摘要】：对智能建筑室内环境恒温进行准确控制,可以提升建筑的舒适度。在进行恒温控制时,会出现送风温度大幅度波动的情况,导致传统方法不能将温度控制在合理的范围内,提出一种智能建筑室内环境恒温优化控制方法。上述方法在物联网环境下,融合于多智能体技术设计温度模糊控制结构,确定智能建筑温度控制系统的输入输出变量及其模糊集,利用Agent执行算法修改模糊规则,并融合于双线性控制算法组建智能建筑恒温动态控制模型,在送风温度大幅度波动时将室内温度维持在设定值中,弥补了当前系统不能适应智能建筑环境变化的弊端。仿真结果表明,改进算法与传统算法相比可以大幅度提高智能建筑恒温控制的鲁棒性,且温度控制稳定性强。
[Abstract]:The indoor temperature of intelligent building can be controlled accurately and the comfort of the building can be improved. In the process of constant temperature control, there will be a large fluctuation of air supply temperature, which leads to the traditional method can not control the temperature within a reasonable range, and puts forward an optimal control method for indoor environment of intelligent building. In the environment of Internet of things, the method is combined with multi-agent technology to design the temperature fuzzy control structure, to determine the input and output variables of the temperature control system of intelligent building and its fuzzy set, and to modify the fuzzy rules by using the Agent algorithm. The model of constant temperature dynamic control of intelligent building is established by combining bilinear control algorithm, and the indoor temperature is maintained in the set value when the air temperature fluctuates greatly, which makes up for the disadvantage that the current system can not adapt to the change of intelligent building environment. The simulation results show that compared with the traditional algorithm, the improved algorithm can greatly improve the robustness of the intelligent building temperature control, and the stability of the temperature control is strong.
【作者单位】：东莞理工学院城市学院;
【基金】：广东省自然科学基金(NO.9151170003000013)
【分类号】：TU855;TP273

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