Title page for etd-0721113-234245

URN	etd-0721113-234245	Statistics	This thesis had been viewed 563 times. Download 12 times.
Author	Hung-Yueh Chen
Author's Email Address	No Public.
Department	Institute Of Mechanical Engineering
Year	2012	Semester	2
Degree	Master	Type of Document	Master's Thesis
Language	zh-TW.Big5 Chinese	Page Count	69
Title	Temperature Control for Variable Refrigerant Flow Central Air-conditioning Systems
Keyword	Energy-saving controls Artificial neural networks Central air-conditioning systems Variable refriger Central air-conditioning systems Variable refriger Artificial neural networks Energy-saving controls
Abstract	The variable refrigerant flow (VRF) central air-conditioning systems (VRFCACS) are developed for energy saving applications. The VRF air-conditioning systems provide low speed operations with low operating load conditions for energy saving. This will decrease the energy dissipation. The conventional PID controls have been applied to the VRFCACS room temperature control for years, but it can not provide nonlinear and time variant control for the complicate VRFCACS. This study establish dynamic model for VRFCACS, and proposes the direct neural control with specified reference model applied to control the room temperature. The room temperature will follow the reference model temperature response for the room temperature energy saving control. The simulation results show the energy-saving performances of proposed method better than conventional PID control.
Advisor Committee	Ming-Huei Chu - advisor JHENG-GUANG HUANG - co-chair KUANG-YUAN KONG - co-chair Ming-Huei Chu - chair
Files	etd-0721113-234245.pdf indicate in-campus access immediately and off-campus access at one year
Date of Defense	2013-07-12	Date of Submission	2013-07-21

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