Automated car braking system using fuzzy logic controller

This paper deals with a Fuzzy Logic Controller (FLC) for an automated car braking system. The response of the system will be simulated by using Fuzzy Logic Toolbox in MATLAB and PID controller. The purpose of this controller is to brake a car when the car approaches for an obstacle at a specific ran...

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Main Author: Mamat, Marhatinie
Format: Undergraduates Project Papers
Language:English
Published: 2007
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/74/
http://umpir.ump.edu.my/id/eprint/74/
http://umpir.ump.edu.my/id/eprint/74/1/cd2635.pdf
id ump-74
recordtype eprints
spelling ump-742015-03-03T06:01:13Z http://umpir.ump.edu.my/id/eprint/74/ Automated car braking system using fuzzy logic controller Mamat, Marhatinie TK Electrical engineering. Electronics Nuclear engineering This paper deals with a Fuzzy Logic Controller (FLC) for an automated car braking system. The response of the system will be simulated by using Fuzzy Logic Toolbox in MATLAB and PID controller. The purpose of this controller is to brake a car when the car approaches for an obstacle at a specific range. For this, the Fuzzy Logic Controller is design using the Fuzzy Logic Toolbox in MATLAB. The system uses four rules and three membership function. The two parameters such as distance and speed will be observed for both controllers and the ability to attenuate disturbance will be simulated. Output of the controller will determine the force of the car brake. Base on the simulation, it can be concluded that the response of Fuzzy Logic Controller is better than PID. However, PID controller can be used to constitute a reference for the performance of the fuzzy logic controller. 2007-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/74/1/cd2635.pdf Mamat, Marhatinie (2007) Automated car braking system using fuzzy logic controller. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:25582&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mamat, Marhatinie
Automated car braking system using fuzzy logic controller
description This paper deals with a Fuzzy Logic Controller (FLC) for an automated car braking system. The response of the system will be simulated by using Fuzzy Logic Toolbox in MATLAB and PID controller. The purpose of this controller is to brake a car when the car approaches for an obstacle at a specific range. For this, the Fuzzy Logic Controller is design using the Fuzzy Logic Toolbox in MATLAB. The system uses four rules and three membership function. The two parameters such as distance and speed will be observed for both controllers and the ability to attenuate disturbance will be simulated. Output of the controller will determine the force of the car brake. Base on the simulation, it can be concluded that the response of Fuzzy Logic Controller is better than PID. However, PID controller can be used to constitute a reference for the performance of the fuzzy logic controller.
format Undergraduates Project Papers
author Mamat, Marhatinie
author_facet Mamat, Marhatinie
author_sort Mamat, Marhatinie
title Automated car braking system using fuzzy logic controller
title_short Automated car braking system using fuzzy logic controller
title_full Automated car braking system using fuzzy logic controller
title_fullStr Automated car braking system using fuzzy logic controller
title_full_unstemmed Automated car braking system using fuzzy logic controller
title_sort automated car braking system using fuzzy logic controller
publishDate 2007
url http://umpir.ump.edu.my/id/eprint/74/
http://umpir.ump.edu.my/id/eprint/74/
http://umpir.ump.edu.my/id/eprint/74/1/cd2635.pdf
first_indexed 2023-09-18T21:51:54Z
last_indexed 2023-09-18T21:51:54Z
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