Tractive efficiency analysis for an intelligent air-cushion tracked vehicle

This study presents the tractive efficiency of an intelligent air-cushion tracked vehicle (IACTV) working on swamp terrain. Based on the total power consumption and optimum load distribution for IACTV, two main issues are studied in this paper. First, a theoretical model is developed for optimizing...

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Main Authors:	Mohiuddin, A. K. M., Hossain, Altab, Rahman, Mohammed Ataur, Aminanda, Yulfian
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	T Technology (General) TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/1364/ http://irep.iium.edu.my/1364/ http://irep.iium.edu.my/1364/1/ASME2010-37516.pdf

id	iium-1364
recordtype	eprints
spelling	iium-13642012-01-08T13:33:22Z http://irep.iium.edu.my/1364/ Tractive efficiency analysis for an intelligent air-cushion tracked vehicle Mohiuddin, A. K. M. Hossain, Altab Rahman, Mohammed Ataur Aminanda, Yulfian T Technology (General) TL1 Motor vehicles This study presents the tractive efficiency of an intelligent air-cushion tracked vehicle (IACTV) working on swamp terrain. Based on the total power consumption and optimum load distribution for IACTV, two main issues are studied in this paper. First, a theoretical model is developed for optimizing total power consumption of the vehicle and tractive efficiency has been investigated with the effects of load distribution on the vehicle performance. Secondly, the vehicle has the ability to response for the changeable cushion pressure based on the cushion height from the ground. The system is effective to control the intelligent air–cushion system by measuring the vehicle tractive efficiency (TE), volume flow rate (Q), cushion height (CH) and cushion pressure (CP). Experiment and simulation results showed that the optimal power consumption can be obtained and maintained by using the designed fuzzy logic system (FLS) with the load distribution ratio of 0.2 and tractive efficiency of 62%. The mean relative error of actual and predicted values from the FLS model on tractive efficiency is found as 9.2%, which is less than the acceptable limit of 10%. The goodness of fit of the prediction value from FLS is found as 0.96. 2010-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1364/1/ASME2010-37516.pdf Mohiuddin, A. K. M. and Hossain, Altab and Rahman, Mohammed Ataur and Aminanda, Yulfian (2010) Tractive efficiency analysis for an intelligent air-cushion tracked vehicle. In: ASME 2010 International Mechanical Engineering Congress & Exposition IMECE2010 , 12-18 November, 2010, Vancouver, British Columbia, Canada. http://www.asmeconferences.org/congress2010/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) TL1 Motor vehicles
spellingShingle	T Technology (General) TL1 Motor vehicles Mohiuddin, A. K. M. Hossain, Altab Rahman, Mohammed Ataur Aminanda, Yulfian Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
description	This study presents the tractive efficiency of an intelligent air-cushion tracked vehicle (IACTV) working on swamp terrain. Based on the total power consumption and optimum load distribution for IACTV, two main issues are studied in this paper. First, a theoretical model is developed for optimizing total power consumption of the vehicle and tractive efficiency has been investigated with the effects of load distribution on the vehicle performance. Secondly, the vehicle has the ability to response for the changeable cushion pressure based on the cushion height from the ground. The system is effective to control the intelligent air–cushion system by measuring the vehicle tractive efficiency (TE), volume flow rate (Q), cushion height (CH) and cushion pressure (CP). Experiment and simulation results showed that the optimal power consumption can be obtained and maintained by using the designed fuzzy logic system (FLS) with the load distribution ratio of 0.2 and tractive efficiency of 62%. The mean relative error of actual and predicted values from the FLS model on tractive efficiency is found as 9.2%, which is less than the acceptable limit of 10%. The goodness of fit of the prediction value from FLS is found as 0.96.
format	Conference or Workshop Item
author	Mohiuddin, A. K. M. Hossain, Altab Rahman, Mohammed Ataur Aminanda, Yulfian
author_facet	Mohiuddin, A. K. M. Hossain, Altab Rahman, Mohammed Ataur Aminanda, Yulfian
author_sort	Mohiuddin, A. K. M.
title	Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
title_short	Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
title_full	Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
title_fullStr	Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
title_full_unstemmed	Tractive efficiency analysis for an intelligent air-cushion tracked vehicle
title_sort	tractive efficiency analysis for an intelligent air-cushion tracked vehicle
publishDate	2010
url	http://irep.iium.edu.my/1364/ http://irep.iium.edu.my/1364/ http://irep.iium.edu.my/1364/1/ASME2010-37516.pdf
first_indexed	2023-09-18T20:08:40Z
last_indexed	2023-09-18T20:08:40Z
_version_	1777407329709326336

Tractive efficiency analysis for an intelligent air-cushion tracked vehicle

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