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.
[1] B. J. Jamaluddin, Sarawak: Peat agricultural use. Malaysian Agriculture
Research and Development Institute (MARDI), pp. 1-12, 2002.
[2] R. Ataur, Y. Azmi, M. Zohadie, D. Ahmad, W. Ishak, Design and
development of a segmented rubber tracked vehicle for Sepang peat
terrain in Malaysia, Int. J. Heavy Vehicle Systems, 12 (3) (2005) 239-
267.
[3] A. Bodin, Development of a tracked vehicle to study the influence of
vehicle parameters on tractive performance in soft terrain, Journal of
Terramechanics, 36 (1999) 167-181.
[4] H.S. Ooi, Design and development of peat prototype track type tractor.
MARDI, Report No. 184, 1996.
[5] A. Rahman, A.K.M Mohiuddin, A. Hossain, Noraini, Irwan, Mobility
of the Lpg-30 Wheeled Vehicle on Peat Terrain in Malaysia, 7th
International Conference on Mechanical Engineering, ICME 2007, 28-30
December, 2007, Dhaka, Bangladesh.
[6] L. Zhe, Y. Fan, C.C. Bing, Design of a novel semi-tracked air-cushion
vehicle for soft terrain, In. J. of Vehicle, Design, 31 (1) (2003) 112-123.
[7] R. Ataur, A. K. M. Mohiuddin, A.I. Faris, Y. Azmi, A. Hossain,
Development of hybrid electrical air-cushion tracked vehicle for swamp
peat, Journal of Terramechanics, 47 (2010) 45-54.
[8] A. Hossan, R. Ataur, A.K.M. Mohiuddin, and Y. Aminanda, Power
Consumption Prediction for an Intelligent Air-Cushion Track Vehicle:
Fuzzy Logic Technique, Journal of Energy and Power Engineering,
(2010) (In Press).
[9] A. Hossain, R. Ataur, M. Rahman, SK. Hasan, and H. Jakir, Prediction of
Power Generation of Small Scale Vertical Axis Wind Turbine Using
Fuzzy Logic, Journal of Urban and Environmental Engineering (JUEE),
Vol. 3, No.2, pp. 43-51, 2009.
[10] A. Al-Anbuky, S. Bataineh, and S. Al-Aqtash, Power demand prediction
using fuzzy logic, Control Engineering Practice, Vol. 3, No. 9, pp. 1291-
1298, 1995.
[11] K. Carman, Prediction of soil compaction under pneumatic tires a using
fuzzy logic approach, Journal of Terramechanics, Vol.45, pp.103-108,
2008.
[12] A. Hossain, R. Ataur, and A.K.M Mohiuddin, Intelligent Air-Cushion
System of Swamp Peat Vehicle Control: Fuzzy Logic Technique, 8th
International Conference on Mechanical Engineering, ICME 2009, 26-28
December, 2009, Bangladesh.
[13] A. Rahman, A.K.M. Mohiuddin, A. Hossain, A. F. Ismail, A. Yahya,
Integrated mechanics of hybrid electrical air-cushion tracked vehicle for
swamp peat, Int. J. Heavy Vehicle Systems, (2009), Inderscience (In
Press).
[14] A. Hossain, R. Ataur, A.K.M. Mohiuddin, A.K.M.P. Iqbal, and M.
Arifin, Modeling of the Developed Flexible Skirt Air-Cushion Track
Vehicle Model, 4th BSME-ASME International Conference on Thermal
Engineering, 27-29 December, 2008, Dhaka, Bangladesh.
[15] A. Hossain, R. Ataur, A.K.M. Mohiuddin, Y. Aminanda and M. Ariffin,
Development of an Intelligent Air-Cushion Tracked Vehicle, 33rd
FISITA World Automotive Engineering Congress 2010, Budapest,
Hungary.
[16] A. Rajagopalan, G. Washington, G. Rizzani, and Y. Guezennec,
Development of Fuzzy Logic and Neural Network Control and
Advanced Emissions Modeling for Parallel Hybrid Vehicles, Center for
Automotive Research, Intelligent Structures and Systems Laboratory,
Ohio State University, USA, December 2003.
[17] K.M. Passino, and S. Yurkovich, Fuzzy control, Addison Wesley
Longman, Inc. Menlo park, CA, USA, 1998.
[18] J. Y. Wong, Theory of Ground Vehicles, 4th Ed., New York, John Willey
& Sons, Inc., 2008.
[19] J.Y. Wong, Performance of the air-cushion-surface-contacting hybrid
vehicle for overland operation, Proceedings of the IMech E, 186 (50/72)
(1972) 613-624.
[20] L. Zhe, Y. Fan, Load distribution control system design for a semi-track
air-cushion vehicle, Journal of Terramechanics, 44 (4) (2007) 319-325.
[21] R. Ataur, A.K.M. Mohiuudin, and A. Hossain, Effectiveness of the
Developed Instrumentation System on the Vehicle Tractive Performance
Measurement, International Journal of Mechanical and Materials
Engineering (IJMME), 2 (2) (2007) 118-124.
[1] B. J. Jamaluddin, Sarawak: Peat agricultural use. Malaysian Agriculture
Research and Development Institute (MARDI), pp. 1-12, 2002.
[2] R. Ataur, Y. Azmi, M. Zohadie, D. Ahmad, W. Ishak, Design and
development of a segmented rubber tracked vehicle for Sepang peat
terrain in Malaysia, Int. J. Heavy Vehicle Systems, 12 (3) (2005) 239-
267.
[3] A. Bodin, Development of a tracked vehicle to study the influence of
vehicle parameters on tractive performance in soft terrain, Journal of
Terramechanics, 36 (1999) 167-181.
[4] H.S. Ooi, Design and development of peat prototype track type tractor.
MARDI, Report No. 184, 1996.
[5] A. Rahman, A.K.M Mohiuddin, A. Hossain, Noraini, Irwan, Mobility
of the Lpg-30 Wheeled Vehicle on Peat Terrain in Malaysia, 7th
International Conference on Mechanical Engineering, ICME 2007, 28-30
December, 2007, Dhaka, Bangladesh.
[6] L. Zhe, Y. Fan, C.C. Bing, Design of a novel semi-tracked air-cushion
vehicle for soft terrain, In. J. of Vehicle, Design, 31 (1) (2003) 112-123.
[7] R. Ataur, A. K. M. Mohiuddin, A.I. Faris, Y. Azmi, A. Hossain,
Development of hybrid electrical air-cushion tracked vehicle for swamp
peat, Journal of Terramechanics, 47 (2010) 45-54.
[8] A. Hossan, R. Ataur, A.K.M. Mohiuddin, and Y. Aminanda, Power
Consumption Prediction for an Intelligent Air-Cushion Track Vehicle:
Fuzzy Logic Technique, Journal of Energy and Power Engineering,
(2010) (In Press).
[9] A. Hossain, R. Ataur, M. Rahman, SK. Hasan, and H. Jakir, Prediction of
Power Generation of Small Scale Vertical Axis Wind Turbine Using
Fuzzy Logic, Journal of Urban and Environmental Engineering (JUEE),
Vol. 3, No.2, pp. 43-51, 2009.
[10] A. Al-Anbuky, S. Bataineh, and S. Al-Aqtash, Power demand prediction
using fuzzy logic, Control Engineering Practice, Vol. 3, No. 9, pp. 1291-
1298, 1995.
[11] K. Carman, Prediction of soil compaction under pneumatic tires a using
fuzzy logic approach, Journal of Terramechanics, Vol.45, pp.103-108,
2008.
[12] A. Hossain, R. Ataur, and A.K.M Mohiuddin, Intelligent Air-Cushion
System of Swamp Peat Vehicle Control: Fuzzy Logic Technique, 8th
International Conference on Mechanical Engineering, ICME 2009, 26-28
December, 2009, Bangladesh.
[13] A. Rahman, A.K.M. Mohiuddin, A. Hossain, A. F. Ismail, A. Yahya,
Integrated mechanics of hybrid electrical air-cushion tracked vehicle for
swamp peat, Int. J. Heavy Vehicle Systems, (2009), Inderscience (In
Press).
[14] A. Hossain, R. Ataur, A.K.M. Mohiuddin, A.K.M.P. Iqbal, and M.
Arifin, Modeling of the Developed Flexible Skirt Air-Cushion Track
Vehicle Model, 4th BSME-ASME International Conference on Thermal
Engineering, 27-29 December, 2008, Dhaka, Bangladesh.
[15] A. Hossain, R. Ataur, A.K.M. Mohiuddin, Y. Aminanda and M. Ariffin,
Development of an Intelligent Air-Cushion Tracked Vehicle, 33rd
FISITA World Automotive Engineering Congress 2010, Budapest,
Hungary.
[16] A. Rajagopalan, G. Washington, G. Rizzani, and Y. Guezennec,
Development of Fuzzy Logic and Neural Network Control and
Advanced Emissions Modeling for Parallel Hybrid Vehicles, Center for
Automotive Research, Intelligent Structures and Systems Laboratory,
Ohio State University, USA, December 2003.
[17] K.M. Passino, and S. Yurkovich, Fuzzy control, Addison Wesley
Longman, Inc. Menlo park, CA, USA, 1998.
[18] J. Y. Wong, Theory of Ground Vehicles, 4th Ed., New York, John Willey
& Sons, Inc., 2008.
[19] J.Y. Wong, Performance of the air-cushion-surface-contacting hybrid
vehicle for overland operation, Proceedings of the IMech E, 186 (50/72)
(1972) 613-624.
[20] L. Zhe, Y. Fan, Load distribution control system design for a semi-track
air-cushion vehicle, Journal of Terramechanics, 44 (4) (2007) 319-325.
[21] R. Ataur, A.K.M. Mohiuudin, and A. Hossain, Effectiveness of the
Developed Instrumentation System on the Vehicle Tractive Performance
Measurement, International Journal of Mechanical and Materials
Engineering (IJMME), 2 (2) (2007) 118-124.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:59803", author = "Altab Hossain and Ataur Rahman and A. K. M. Mohiuddin and Yulfian Aminanda", title = "Tractive Performance Prediction for Intelligent Air-Cushion Track Vehicle: Fuzzy Logic Approach", abstract = "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.", keywords = "Cushion pressure, Fuzzy logic, Motion resistance,Traction force.", volume = "4", number = "2", pages = "239-7", }
