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Smart vacuum cleaner using fuzzy logic / Ismalily Ismail

Fuzzy control method and algorithms, including many specialized software and hardware available on the market, may be classified as one type of intelligent control. This is because fuzzy system modeling, analysis and control incorporate a certain amount of human knowledge into its component such as...

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Bibliographic Details
Main Author: Ismail, Ismalily
Format: Student Project
Language:English
Published: 2008
Subjects:
Electronics
Detectors. Sensors. Sensor networks
Microelectromechanical systems
Applications of electronics
Online Access:https://ir.uitm.edu.my/id/eprint/53900/1/53900.pdf
https://ir.uitm.edu.my/id/eprint/53900/
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spelling my.uitm.ir.539002021-12-02T02:50:57Z https://ir.uitm.edu.my/id/eprint/53900/ Smart vacuum cleaner using fuzzy logic / Ismalily Ismail Ismail, Ismalily Electronics Detectors. Sensors. Sensor networks Microelectromechanical systems Applications of electronics Fuzzy control method and algorithms, including many specialized software and hardware available on the market, may be classified as one type of intelligent control. This is because fuzzy system modeling, analysis and control incorporate a certain amount of human knowledge into its component such as fuzzy sets, fuzzy logic, and fuzzy rule bases. This thesis deals with the modeling of the vacuum cleaner using fuzzy logic controller by using MATLAB and Simulink software. In this thesis, the model of the smart vacuum cleaner Fuzzy Logic Controller (FLC) is developed by using Matlab Fuzzy Logic Toolbox and Simulink. The FLC designed in this project has two inputs and one output where the first input is the types of surface and the second input is the types of dirt or dirt condition on the surface. The output of this FLC is the suction power where this output signal will be used as the voltage supplied to the suction motor. Four shapes of membership function will be tested and the shape that can produce a good result due to the output signal and time response will be used in the FLC. The result of this FLC is the output signals that were produced by the controller will give the output value based on the inputs implemented to the FLC. 2008 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/53900/1/53900.pdf ID53900 Ismail, Ismalily (2008) Smart vacuum cleaner using fuzzy logic / Ismalily Ismail. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Electronics
Detectors. Sensors. Sensor networks
Microelectromechanical systems
Applications of electronics
spellingShingle Electronics
Detectors. Sensors. Sensor networks
Microelectromechanical systems
Applications of electronics
Ismail, Ismalily
Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
description Fuzzy control method and algorithms, including many specialized software and hardware available on the market, may be classified as one type of intelligent control. This is because fuzzy system modeling, analysis and control incorporate a certain amount of human knowledge into its component such as fuzzy sets, fuzzy logic, and fuzzy rule bases. This thesis deals with the modeling of the vacuum cleaner using fuzzy logic controller by using MATLAB and Simulink software. In this thesis, the model of the smart vacuum cleaner Fuzzy Logic Controller (FLC) is developed by using Matlab Fuzzy Logic Toolbox and Simulink. The FLC designed in this project has two inputs and one output where the first input is the types of surface and the second input is the types of dirt or dirt condition on the surface. The output of this FLC is the suction power where this output signal will be used as the voltage supplied to the suction motor. Four shapes of membership function will be tested and the shape that can produce a good result due to the output signal and time response will be used in the FLC. The result of this FLC is the output signals that were produced by the controller will give the output value based on the inputs implemented to the FLC.
format Student Project
author Ismail, Ismalily
author_facet Ismail, Ismalily
author_sort Ismail, Ismalily
title Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
title_short Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
title_full Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
title_fullStr Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
title_full_unstemmed Smart vacuum cleaner using fuzzy logic / Ismalily Ismail
title_sort smart vacuum cleaner using fuzzy logic / ismalily ismail
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/53900/1/53900.pdf
https://ir.uitm.edu.my/id/eprint/53900/
_version_ 1718929599529746432
score 13.211869

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