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Intelligent air-cushion tracked vehicle performance investigation: neural-networks

Rahman, Mohammed Ataur and Hossain, Altab (2011) Intelligent air-cushion tracked vehicle performance investigation: neural-networks. International Journal of Heavy Vehicle Systems (IJHVS), xx (xx). ISSN 1741-5152 (O), 1744-232X (P) (In Press)

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Intelligent air-cushion tracked vehicle (IACTV) is focused for the alternatives to conventional off-road vehicles, which are driven by track system and air-cushion system. To make IACTV as efficient as possible, proper investigation of vehicle performance is essential. However, most relevant factors that affect the competitive efficiency of the air-cushion tracked vehicle are the tractive effort, motion resistance and power consumption. Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. Cushion clearance height (CH), and air-cushion pressure (CP) are used at the input layers while power consumption (PC), tractive effort (TE) and motion resistance (MR) are used at the output layers. Experiments are carried out in the field to investigate the vehicle performance and compared with the results obtained from ANN.

Item Type: Article (Journal)
Additional Information: 5264/7151
Uncontrolled Keywords: Artificial neural network, Power consumption, Motion resistance
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Depositing User: Dr Md Ataur Rahman
Date Deposited: 25 Nov 2011 10:42
Last Modified: 25 Nov 2011 10:42
URI: http://irep.iium.edu.my/id/eprint/7151

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