PMV-based fuzzy algorithms for controlling indoor temperature
PMV-based fuzzy algorithms for controlling indoor temperature
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基于 PMV 的室内温度控制模糊算法
DOI：
10.1109/iciea.2011.5975826
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Peiyong Duan
中科院分区：
文献类型：
--
作者：
Chenxu Duan;Xudong Ding;Fenggang Shi;Xianhua Xiao;Peiyong Duan
利用预测平均投票(PMV)指数的概念，提出了一种在保持乘员热舒适性的同时对室内温度进行模糊控制的策略。以PMV指标作为控制器的设定值，根据实测的温湿度由PMV模型计算出其反馈值。将整定值与反馈值之间的PMV差值作为模糊控制器的输入。与传统的温度控制方法相比，该算法考虑了湿度参数和风参数的影响。它可以根据不同的环境条件，在保持乘员热舒适性的同时，通过提高或降低室内温度来实现节能。
A fuzzy control strategy of the indoor temperature while maintaining the occupant's thermal comfort is presented using the concept of the predicted mean vote (PMV) index. The PMV index is taken as the setting point of the controller and its feedback value is calculated from the PMV model based on the measured temperature and humidity. The difference value of PMV between the setting point and the feedback value is employed as the input of Fuzzy controller. Compared with the traditional temperature control methods, the proposed algorithm takes into account the influences of humidity parameters and wind parameters. It can achieve the energy saving by raising or reducing the indoor temperature according to the variant ambient conditions while maintaining the occupant's thermal comfort.