Tractive performance prediction for intelligent air-cushion track vehicle: fuzzy logic approach
Fuzzy logic approach is used in this study to predict the tractive performance in terms of traction force, and motion resistance for an intelligent air cushion track vehicle while it operates in the swamp peat. The system is effective to control the intelligent air –cushion system with measuring th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Academy of Science, Engineering and Technology (W A S E T)
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1144/ http://irep.iium.edu.my/1144/ http://irep.iium.edu.my/1144/1/v62-30.pdf |
| Summary: | Fuzzy logic approach is used in this study to predict
the tractive performance in terms of traction force, and motion resistance for an intelligent air cushion track vehicle while it operates in the swamp peat. The system is effective to control the intelligent air –cushion system with measuring the vehicle traction force (TF), motion resistance (MR), cushion clearance height (CH) and cushion
pressure (CP). Sinkage measuring sensor, magnetic switch, pressure sensor, micro controller, control valves and battery are incorporated with the Fuzzy logic system (FLS) to investigate experimentally the TF, MR, CH, and CP. In this study, a comparison for tractive performance of an intelligent air cushion track vehicle has been performed with the results obtained from the predicted values of FLS
and experimental actual values. The mean relative error of actual and predicted values from the FLS model on traction force, and total motion resistance are found as 5.58 %, and 6.78 % respectively. For all parameters, the relative error of predicted values are found to be less than the acceptable limits. The goodness of fit of the prediction
values from the FLS model on TF, and MR are found as 0.90, and 0.98 respectively. |
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