Neural network control for an intelligent air handler in an air-conditioning system
Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/5531 |
| _version_ | 1811694010150944768 |
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| author | Zhang, Qi |
| author2 | Fok Sai Cheong |
| author_facet | Fok Sai Cheong Zhang, Qi |
| author_sort | Zhang, Qi |
| collection | NTU |
| description | Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the indoor temperature only, while leaving the space relative humidity to float during part load operation. Under varying load and external environmental conditions, general proportional-integral-derivative (PID) control technique may not be appropriate for the regulation of both the temperature and the relative humidity. |
| first_indexed | 2024-10-01T07:00:46Z |
| format | Thesis |
| id | ntu-10356/5531 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:00:46Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/55312023-03-11T18:07:25Z Neural network control for an intelligent air handler in an air-conditioning system Zhang, Qi Fok Sai Cheong Wong Yew Wah School of Mechanical and Production Engineering DRNTU::Engineering::Mechanical engineering::Control engineering Many commercial air-conditioning systems in hot and humid areas like Singapore are operated throughout the year. There are two main classifications for these systems: the constant air volume (CAV) and variable air volume (VAV) systems. Currently, both CAV and VAV systems are designed to control the indoor temperature only, while leaving the space relative humidity to float during part load operation. Under varying load and external environmental conditions, general proportional-integral-derivative (PID) control technique may not be appropriate for the regulation of both the temperature and the relative humidity. MASTER OF ENGINEERING (MPE) 2008-09-17T10:52:47Z 2008-09-17T10:52:47Z 2003 2003 Thesis Zhang, Q. (2003). Neural network control for an intelligent air handler in an air-conditioning system. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/5531 10.32657/10356/5531 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Control engineering Zhang, Qi Neural network control for an intelligent air handler in an air-conditioning system |
| title | Neural network control for an intelligent air handler in an air-conditioning system |
| title_full | Neural network control for an intelligent air handler in an air-conditioning system |
| title_fullStr | Neural network control for an intelligent air handler in an air-conditioning system |
| title_full_unstemmed | Neural network control for an intelligent air handler in an air-conditioning system |
| title_short | Neural network control for an intelligent air handler in an air-conditioning system |
| title_sort | neural network control for an intelligent air handler in an air conditioning system |
| topic | DRNTU::Engineering::Mechanical engineering::Control engineering |
| url | https://hdl.handle.net/10356/5531 |
| work_keys_str_mv | AT zhangqi neuralnetworkcontrolforanintelligentairhandlerinanairconditioningsystem |