A CFD-based test method for control of indoor environment in air-conditioned rooms
Because of the complexity of the indoor dynamic thermal environment, several kinds of simplified surrogate models, such as zone model and proper orthogonal decomposition (POD) based reduced-order model, have been developed for fast simulation and control purpose. To test and calibrate the performance of such models, a computational fluid dynamics (CFD) based test method is presented in this paper. The proposed virtual test model combines a CFD-based air-conditioned room with a single neuron adaptive PID controller, which is programmed using the user-defined function and embedded in the CFD model. Additionally, a space temperature offset model is developed using least squares estimation (LSE). This offset model is used to compensate the temperature difference between actual sensor locations and occupied zones. Test studies not only show the great interoperation between the PID controller and the CFD simulation but also demonstrate the acceptable accuracy of the LSE-based temperature estimation.
CFD single neuron PID system simulation temperature control
Kangji Li Hongye Su Jian Chu
Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, P. R. China School of Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
6933-6937
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）