Modeling for Control of Air-Conditioned Room

• Main Authors: Su, Shen-Wen, 蘇顯文
• Other Authors: Yen-Cheng Lin
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/87425941461122507559

碩士 === 大同工學院 === 機械工程學系 === 85 === Among the main factors which affect the human comfortness in anair-conditioned room, the room temperature, air velocity and humidity can be changed by control the rotational speed of compressor and fan. However, if a lumped parameter model is used to describe the relation among these state variables, the fact that the conditions are different all over the air-conditioned room is ignored. Therefore, based on the experience of numerical simulation and controlof air-conditioned room, this research design the experiment by response surface method (RSM). The data obtained is used to build statistic and fuzzy model. To build the fuzzy model, the mountain clustering and subtractive clustering are used to identify the rule structure. Then, the back-propagation algorithm is used to tune the parameters of the fuzzy rule bases. The three model thus built are compared and discussed based on the performance of prediction.