Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system
This paper describes the unique structure of an intelligent air-cushion system of a hybrid electrical air-cushion track vehicle working on swamp terrain. Fuzzy expert system (FES) is used in this study to control the swamp tracked vehicle’s intelligent air cushion system while it operates in the s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
David Publishing, USA
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/17055/ http://irep.iium.edu.my/17055/1/Power_consumption_prediction_for_an_intelligent_air-cushion.pdf |
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| author | Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Aminanda, Yulfian |
| author_facet | Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Aminanda, Yulfian |
| author_sort | Hossain, Altab |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper describes the unique structure of an intelligent air-cushion system of a hybrid electrical air-cushion track vehicle
working on swamp terrain. Fuzzy expert system (FES) is used in this study to control the swamp tracked vehicle’s intelligent air
cushion system while it operates in the swamp peat. The system will be effective to control the intelligent air-cushion system with total
power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). Ultrasonic displacement sensor, pull-in solenoid
electromagnetic switch, pressure sensor, micro controller and battery pH sensor will be incorporated with the (FES) to investigate
experimentally the PC, CCH and CP. In this study, we provide illustration how FES might play an important role in the prediction of
power consumption of the vehicle’s intelligent air-cushion system. The mean relative error of actual and predicted values from the FES
model on total power consumption is found as 10.63 %, which is found to be alomst equal to the acceptable limits of 10%. The
goodness of fit of the prediction values from the FES model on PC is found as 0.97. |
| first_indexed | 2025-11-14T14:54:45Z |
| format | Article |
| id | iium-17055 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:54:45Z |
| publishDate | 2010 |
| publisher | David Publishing, USA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-170552012-04-02T08:02:22Z http://irep.iium.edu.my/17055/ Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Aminanda, Yulfian TJ Mechanical engineering and machinery This paper describes the unique structure of an intelligent air-cushion system of a hybrid electrical air-cushion track vehicle working on swamp terrain. Fuzzy expert system (FES) is used in this study to control the swamp tracked vehicle’s intelligent air cushion system while it operates in the swamp peat. The system will be effective to control the intelligent air-cushion system with total power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). Ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure sensor, micro controller and battery pH sensor will be incorporated with the (FES) to investigate experimentally the PC, CCH and CP. In this study, we provide illustration how FES might play an important role in the prediction of power consumption of the vehicle’s intelligent air-cushion system. The mean relative error of actual and predicted values from the FES model on total power consumption is found as 10.63 %, which is found to be alomst equal to the acceptable limits of 10%. The goodness of fit of the prediction values from the FES model on PC is found as 0.97. David Publishing, USA 2010-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/17055/1/Power_consumption_prediction_for_an_intelligent_air-cushion.pdf Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. and Aminanda, Yulfian (2010) Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system. Journal of Energy and Power Engineering, 4 (5). pp. 10-17. ISSN 1934-8975 http://davidpublishing.org/davidpublishing/journals/J6/enegy2011/neng2011/547.html |
| spellingShingle | TJ Mechanical engineering and machinery Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Aminanda, Yulfian Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title | Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title_full | Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title_fullStr | Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title_full_unstemmed | Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title_short | Power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| title_sort | power consumption prediction for an intelligent air-cushion tracked vehicle: fuzzy expert system |
| topic | TJ Mechanical engineering and machinery |
| url | http://irep.iium.edu.my/17055/ http://irep.iium.edu.my/17055/ http://irep.iium.edu.my/17055/1/Power_consumption_prediction_for_an_intelligent_air-cushion.pdf |