Intelligent traction control system of an electric golf car: nonlinear dynamics investigation

Intelligent traction control system of an electric golf car has been developed by using the experience of the traction in order to maintain the golf car traction as required with utilizing optimum power. Compared with conventional control approach, fuzzy logic approach is more efficient for nonlinea...

Full description

Bibliographic Details
Main Authors: Rahman, Mohammed Ataur, Mohiuddin, A. K. M.
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/6380/
http://irep.iium.edu.my/6380/
http://irep.iium.edu.my/6380/1/DRC02_817-1330-1-RV-TSME-ICoME-Ataur.pdf
id iium-6380
recordtype eprints
spelling iium-63802011-11-21T19:07:30Z http://irep.iium.edu.my/6380/ Intelligent traction control system of an electric golf car: nonlinear dynamics investigation Rahman, Mohammed Ataur Mohiuddin, A. K. M. TL1 Motor vehicles Intelligent traction control system of an electric golf car has been developed by using the experience of the traction in order to maintain the golf car traction as required with utilizing optimum power. Compared with conventional control approach, fuzzy logic approach is more efficient for nonlinear dynamic systems and embedding existing structured human knowledge into workable mathematics. The purpose of this study is to investigate the relationship between vehicle’s input parameters of power supply (PI) and moisture content (MC) and output parameter of traction force (TF) and Power Consumption (P). Experiment has been conducted in the field to investigate the vehicle traction and the result has been compared with the developed fuzzy logic system (FLS) based on Mamdani approach. Results show that the mean relative error of actual and predicted values from the FLS model on TF is found as 7.68 %, which is less than the acceptable limit of 10%. The goodness of fit of the prediction value from FLS is found close to 1.0 as expected and hence shows the good performance of the developed system. 2011-10-21 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6380/1/DRC02_817-1330-1-RV-TSME-ICoME-Ataur.pdf Rahman, Mohammed Ataur and Mohiuddin, A. K. M. (2011) Intelligent traction control system of an electric golf car: nonlinear dynamics investigation. In: TSME International Conference on Mechanical Engineering 2011, 19 - 21, October 2011, Sheraton Krabi Beach Resort, Krabi, Thailand. (Unpublished) http://www.me.psu.ac.th/tsme/ocs/index.php/TSME-ICoME/2011
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TL1 Motor vehicles
spellingShingle TL1 Motor vehicles
Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
description Intelligent traction control system of an electric golf car has been developed by using the experience of the traction in order to maintain the golf car traction as required with utilizing optimum power. Compared with conventional control approach, fuzzy logic approach is more efficient for nonlinear dynamic systems and embedding existing structured human knowledge into workable mathematics. The purpose of this study is to investigate the relationship between vehicle’s input parameters of power supply (PI) and moisture content (MC) and output parameter of traction force (TF) and Power Consumption (P). Experiment has been conducted in the field to investigate the vehicle traction and the result has been compared with the developed fuzzy logic system (FLS) based on Mamdani approach. Results show that the mean relative error of actual and predicted values from the FLS model on TF is found as 7.68 %, which is less than the acceptable limit of 10%. The goodness of fit of the prediction value from FLS is found close to 1.0 as expected and hence shows the good performance of the developed system.
format Conference or Workshop Item
author Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
author_facet Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
author_sort Rahman, Mohammed Ataur
title Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
title_short Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
title_full Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
title_fullStr Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
title_full_unstemmed Intelligent traction control system of an electric golf car: nonlinear dynamics investigation
title_sort intelligent traction control system of an electric golf car: nonlinear dynamics investigation
publishDate 2011
url http://irep.iium.edu.my/6380/
http://irep.iium.edu.my/6380/
http://irep.iium.edu.my/6380/1/DRC02_817-1330-1-RV-TSME-ICoME-Ataur.pdf
first_indexed 2023-09-18T20:15:18Z
last_indexed 2023-09-18T20:15:18Z
_version_ 1777407747581542400