Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System
碩士 === 國立勤益科技大學 === 冷凍空調系 === 101 === This purpose of this study is to model constant-temperature-constant-humidity air condition system and a novel controller strategy, Quadrant Control Strategy (QCS), is applied for controlling the temperature-humidity state within the cooling space by modifying p...
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ndltd-TW-101NCIT56800292016-03-14T04:13:56Z http://ndltd.ncl.edu.tw/handle/00940077338904571131 Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System 恆溫恆濕空調系統建模及象限控制法則探討 Lin,cong-min 林琮閔 碩士 國立勤益科技大學 冷凍空調系 101 This purpose of this study is to model constant-temperature-constant-humidity air condition system and a novel controller strategy, Quadrant Control Strategy (QCS), is applied for controlling the temperature-humidity state within the cooling space by modifying parameters of air flow, humidification, and heating. Finally, the comparison between PID and QCS methods is processed by both MATLAB simulations and literature verification for stability and astringency. The comparison result shows the QCS provides higher performance than PID in settling time, overshoot and steady-state error. The PID simulation results a ± 0.1 ℃ error in predefined environments, such like subtropical island climate, winter island climate, low temperature climate and dry desert climate, while the QCS method handling the constant-temperature-humidity rapidly with a tiny overshoot and no disturbance. Lee jing-nang 李靖男 2013 學位論文 ; thesis 79 zh-TW |
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碩士 === 國立勤益科技大學 === 冷凍空調系 === 101 === This purpose of this study is to model constant-temperature-constant-humidity air condition system and a novel controller strategy, Quadrant Control Strategy (QCS), is
applied for controlling the temperature-humidity state within the cooling space by modifying parameters of air flow, humidification, and heating. Finally, the comparison between PID and QCS methods is processed by both MATLAB simulations and literature verification for stability and astringency.
The comparison result shows the QCS provides higher performance than PID in settling time, overshoot and steady-state error. The PID simulation results a ± 0.1 ℃ error in predefined environments, such like subtropical island climate, winter island climate, low temperature climate and dry desert climate, while the QCS method handling the constant-temperature-humidity rapidly with a tiny overshoot and no disturbance.
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Lee jing-nang |
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Lee jing-nang Lin,cong-min 林琮閔 |
author |
Lin,cong-min 林琮閔 |
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Lin,cong-min 林琮閔 Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
author_sort |
Lin,cong-min |
title |
Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
title_short |
Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
title_full |
Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
title_fullStr |
Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
title_full_unstemmed |
Quadrant Control Strategy and Establishing for Modeling a Constant-Temperature-Humidity System |
title_sort |
quadrant control strategy and establishing for modeling a constant-temperature-humidity system |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/00940077338904571131 |
work_keys_str_mv |
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