Altab Hossain and Ataur Rahman and A. K. M. Mohiuddin and Yulfian Aminanda
Tractive Performance Prediction for Intelligent AirCushion Track Vehicle Fuzzy Logic Approach
137 - 143
2010
4
2
International Journal of Mechanical and Mechatronics Engineering
https://publications.waset.org/pdf/10750
https://publications.waset.org/vol/38
World Academy of Science, Engineering and Technology
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.
Open Science Index 38, 2010