Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54307
Title: Control of dehumidification and regeneration
Authors: Liu, Yong
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Issue Date: 2013
Abstract: This thesis presents the back propagation network control for the liquid desiccant dehumidification system (LDDS) and the LDDS is one of the Heating, ventilation, and air conditioning (HVAC) systems to regulate the humidity, temperature, and air flow of the room with high energy efficiency. In the LDDS, there are numerous factors influencing the performance of the system. For building one model to control the system, the five main parameters are chosen, and the relative humidity of the output air is regarded as the target, and the four inputs are the absolute temperature of the output air, the flow rate, temperature, and density of the liquid desiccant solution. The back propagation network is a good tool for dealing with the nonlinear system and is proposed. First, 75% of the 300 groups of data are utilized to train and simulate to acquire a model by using the back propagation network. Then, 25% of the 300 groups of data are put into the built model to be controlled to obtain the predicted data. Lastly, the comparison of the raw data and the predicted data identifies the model. Besides, the fundamentals of back propagation also are discussed.
URI: http://hdl.handle.net/10356/54307
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
eW1107122.pdf
  Restricted Access
984.1 kBAdobe PDFView/Open

Page view(s)

180
Updated on May 10, 2021

Download(s) 50

15
Updated on May 10, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.