Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/5531
Title: Neural network control for an intelligent air handler in an air-conditioning system
Authors: Zhang, Qi
Keywords: DRNTU::Engineering::Mechanical engineering::Control engineering
Issue Date: 2003
Source: Zhang, Q. (2003). Neural network control for an intelligent air handler in an air-conditioning system. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/5531
DOI: 10.32657/10356/5531
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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