Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31103
Tractive Performance Prediction for Intelligent Air-Cushion Track Vehicle: Fuzzy Logic Approach

Authors: Altab Hossain, Ataur Rahman, A. K. M. Mohiuddin, Yulfian Aminanda


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: Fuzzy Logic, traction force, Cushion pressure, Motion resistance

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1229


[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.