Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle

A fuzzy expert system was used in this study to control an intelligent air-cushion tracked vehicle (IACTV) as it operated in a swamp peat terrain. The system was effective in controlling the intelligent air–cushion vehicle while measuring the vehicle traction (TE), motion resistance (MR), power cons...

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Main Authors:	Hossain, Altab, Rahman, Mohammed Ataur, Mohiuddin, A. K. M.
Format:	Article
Language:	English
Published:	Springer 2011
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/1/IJAT-Fuzzy_expert_system_%28p.745-753%29.pdf

id	iium-1592
recordtype	eprints
spelling	iium-15922013-06-25T02:33:10Z http://irep.iium.edu.my/1592/ Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. T Technology (General) TJ Mechanical engineering and machinery A fuzzy expert system was used in this study to control an intelligent air-cushion tracked vehicle (IACTV) as it operated in a swamp peat terrain. The system was effective in controlling the intelligent air–cushion vehicle while measuring the vehicle traction (TE), motion resistance (MR), power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). An ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure-control sensor, microcontroller, and battery pH sensor were incorporated into the fuzzy expert system (FES) to experimentally determine the TE, MR, PC, CCH, and CP. In this study, we provide an illustration of how an FES might play an important role in the prediction of the power consumption of the vehicle’s intelligent air-cushion system. The mean relative error in the actual and predicted values from the FES model with respect to tractive effort, total motion resistance and total power consumption were found to be 5.58 %, 6.78 % and 10.63 %, respectively. For all parameters, the relative error in the predicted values was found to be less than the acceptable limit (10%), except for the total power consumption. Furthermore, the goodness of fit of the predicted values was found to be close to 1.0 as expected and, hence, indicates the good performance of the developed system. Springer 2011-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1592/1/IJAT-Fuzzy_expert_system_%28p.745-753%29.pdf Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. (2011) Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle. International Journal of Automotive Technology, 12 (5). pp. 745-753. ISSN 1229-9138 (Print), 1976-3832 (Online) http://www.ijat.net/article/about/about_ijat.php DOI 10.1007/s12239−011−0086−9
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) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
description	A fuzzy expert system was used in this study to control an intelligent air-cushion tracked vehicle (IACTV) as it operated in a swamp peat terrain. The system was effective in controlling the intelligent air–cushion vehicle while measuring the vehicle traction (TE), motion resistance (MR), power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). An ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure-control sensor, microcontroller, and battery pH sensor were incorporated into the fuzzy expert system (FES) to experimentally determine the TE, MR, PC, CCH, and CP. In this study, we provide an illustration of how an FES might play an important role in the prediction of the power consumption of the vehicle’s intelligent air-cushion system. The mean relative error in the actual and predicted values from the FES model with respect to tractive effort, total motion resistance and total power consumption were found to be 5.58 %, 6.78 % and 10.63 %, respectively. For all parameters, the relative error in the predicted values was found to be less than the acceptable limit (10%), except for the total power consumption. Furthermore, the goodness of fit of the predicted values was found to be close to 1.0 as expected and, hence, indicates the good performance of the developed system.
format	Article
author	Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M.
author_facet	Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M.
author_sort	Hossain, Altab
title	Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
title_short	Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
title_full	Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
title_fullStr	Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
title_full_unstemmed	Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
title_sort	fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle
publisher	Springer
publishDate	2011
url	http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/ http://irep.iium.edu.my/1592/1/IJAT-Fuzzy_expert_system_%28p.745-753%29.pdf
first_indexed	2023-09-18T20:08:58Z
last_indexed	2023-09-18T20:08:58Z
_version_	1777407349079670784

Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle

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