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dc.creator | Yang, Z. | |
dc.creator | Xu, X. | |
dc.date.accessioned | 2007-05-07T20:44:57Z | |
dc.date.available | 2007-05-07T20:44:57Z | |
dc.date.issued | 2006 | |
dc.identifier.other | ESL-IC-06-11-152 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/5296 | |
dc.description.abstract | To overcome the shortcoming of constant temperature and humidity in artificial cooling source control system, a dynamic indoor temperature control strategy was put forward under health and thermal comfortable principles. With a lump human model , the reliability of the strategy was verified by Matlab simulation. The strategies were realized with a S7-300 controller in an artificial climate lab . Using Fuzzy-PID arithmetic and forward-feed and feedback control method, the real time control was achieved. In the system, MPI channel was used to communicate between PLC and PC, and WINCC was used for the man-machine conversation. | en |
dc.format.extent | 183577 bytes | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
dc.publisher | Texas A&M University (http://www.tamu.edu) | |
dc.subject | cooling source | en |
dc.subject | dynamical thermal comfort | en |
dc.subject | PLC | en |
dc.subject | artificial microclimate lab | en |
dc.title | Study on The Intelligence Control System of Artificial Cooling Source in Architecture | en |
This item appears in the following Collection(s)
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ICEBO - International Conference for Enhanced Building Operations
International Conference for Enhanced Building Operations