Obstacle avoidance robot applying fuzzy control system

The use of energy saving glass has become very popular in the modern day building design. This energy saving property is achieved by applying a very thin tin oxide (SnO2) coating on one side of the glass. This coating can provide good thermal insulation to the buildings by blocking infrared ra...

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Main Author: Liew, Chia Woon
Format: Thesis
Language:English
English
English
Published: 2014
Subjects:
Online Access:http://eprints.uthm.edu.my/1528/1/24p%20LIEW%20CHIA%20WOON.pdf
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spelling my.uthm.eprints.15282021-10-03T07:55:49Z http://eprints.uthm.edu.my/1528/ Obstacle avoidance robot applying fuzzy control system Liew, Chia Woon TJ Mechanical engineering and machinery TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) The use of energy saving glass has become very popular in the modern day building design. This energy saving property is achieved by applying a very thin tin oxide (SnO2) coating on one side of the glass. This coating can provide good thermal insulation to the buildings by blocking infrared rays while being transparent to visible part of the spectrum. Drawbacks of these energy saving windows is that it also attenuates the transmission of useful microwave signals through them. These signals fall within the frequency band of 0.8GHz to 2.2GHz. In order to pass these signals through the coated glass, the use of aperture type frequency selective surface (FSS) has being proposed. In the present work, SnO2 thin film with FSS structure was fabricated using RF magnetron sputtering technique and printed circuit board technology. Deposition time, dissipation power and oxygen flow rate were varied during the sputtering deposition process. Atomic force microscopy (AFM) and field emission-scanning electron microscopy (FE-SEM) were used to analyze the surface morphology and roughness of the SnO2 thin film. Two point electrical probe analysis was used to determine the sheet resistance and resistivity of the SnO2 thin film. Thickness of SnO2 thin film was measured using surface profiler. Good correlation between the surface properties and electrical properties of SnO2 thin film was obtained. Microwave transmission through SnO2 coated glass with FSS structure was also analyzed using network analyzer. The result of computer simulation was confirmed and consistent with the network analyzer results that showed the improvement of SnO2 coated glass with the FSS structure. Thermal analysis demonstrated that FSS structure had allows the transmission of GSM mobile signal penetrate in the buildings while blocking the infrared light with the SnO2 film properties. 2014-07 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/1528/1/24p%20LIEW%20CHIA%20WOON.pdf text en http://eprints.uthm.edu.my/1528/2/LIEW%20CHIA%20WOON%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/1528/3/LIEW%20CHIA%20WOON%20WATERMARK.pdf Liew, Chia Woon (2014) Obstacle avoidance robot applying fuzzy control system. Masters thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic TJ Mechanical engineering and machinery
TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
spellingShingle TJ Mechanical engineering and machinery
TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
Liew, Chia Woon
Obstacle avoidance robot applying fuzzy control system
description The use of energy saving glass has become very popular in the modern day building design. This energy saving property is achieved by applying a very thin tin oxide (SnO2) coating on one side of the glass. This coating can provide good thermal insulation to the buildings by blocking infrared rays while being transparent to visible part of the spectrum. Drawbacks of these energy saving windows is that it also attenuates the transmission of useful microwave signals through them. These signals fall within the frequency band of 0.8GHz to 2.2GHz. In order to pass these signals through the coated glass, the use of aperture type frequency selective surface (FSS) has being proposed. In the present work, SnO2 thin film with FSS structure was fabricated using RF magnetron sputtering technique and printed circuit board technology. Deposition time, dissipation power and oxygen flow rate were varied during the sputtering deposition process. Atomic force microscopy (AFM) and field emission-scanning electron microscopy (FE-SEM) were used to analyze the surface morphology and roughness of the SnO2 thin film. Two point electrical probe analysis was used to determine the sheet resistance and resistivity of the SnO2 thin film. Thickness of SnO2 thin film was measured using surface profiler. Good correlation between the surface properties and electrical properties of SnO2 thin film was obtained. Microwave transmission through SnO2 coated glass with FSS structure was also analyzed using network analyzer. The result of computer simulation was confirmed and consistent with the network analyzer results that showed the improvement of SnO2 coated glass with the FSS structure. Thermal analysis demonstrated that FSS structure had allows the transmission of GSM mobile signal penetrate in the buildings while blocking the infrared light with the SnO2 film properties.
format Thesis
author Liew, Chia Woon
author_facet Liew, Chia Woon
author_sort Liew, Chia Woon
title Obstacle avoidance robot applying fuzzy control system
title_short Obstacle avoidance robot applying fuzzy control system
title_full Obstacle avoidance robot applying fuzzy control system
title_fullStr Obstacle avoidance robot applying fuzzy control system
title_full_unstemmed Obstacle avoidance robot applying fuzzy control system
title_sort obstacle avoidance robot applying fuzzy control system
publishDate 2014
url http://eprints.uthm.edu.my/1528/1/24p%20LIEW%20CHIA%20WOON.pdf
http://eprints.uthm.edu.my/1528/2/LIEW%20CHIA%20WOON%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1528/3/LIEW%20CHIA%20WOON%20WATERMARK.pdf
http://eprints.uthm.edu.my/1528/
_version_ 1738580871319912448
score 13.160551