Skip to main content
SpringerLink
Log in

Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle

  • Published:
International Journal of Automotive Technology Aims and scope Submit manuscript

Abstract

A fuzzy expert system was used in this study to control an intelligent air-cushion tracked vehicle (IACTV) as it operated in a swamp peat terrain. The system was effective in controlling the intelligent air-cushion vehicle while measuring the vehicle traction (TE), motion resistance (MR), power consumption (PC), cushion clearance height (CCH) and cushion pressure (CP). An ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure-control sensor, microcontroller, and battery pH sensor were incorporated into the fuzzy expert system (FES) to experimentally determine the TE, MR, PC, CCH, and CP. In this study, we provide an illustration of how an FES might play an important role in the prediction of the power consumption of the vehicle’s intelligent air-cushion system. The mean relative error in the actual and predicted values from the FES model with respect to tractive effort, total motion resistance and total power consumption were found to be 5.58 %, 6.78 % and 10.63 %, respectively. For all parameters, the relative error in the predicted values was found to be less than the acceptable limit (10%), except for the total power consumption. Furthermore, the goodness of fit of the predicted values was found to be close to 1.0 as expected and, hence, indicates the good performance of the developed system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Al-Anbuky, A., Bataineh, S. and Al-Aqtash, S. (1995). Power demand prediction using fuzzy logic. Control Engineering Practice 3,9, 1291–1298.

    Article  Google Scholar 

  • Carman, K. (2008). Prediction of soil compaction under pneumatic tires a using fuzzy logic approach. J. Terramechanics, 45, 103–108.

    Article  Google Scholar 

  • Chiou, J.-S. and Liu, M.-T. (2009). Using fuzzy logic controller and evolutionary genetic algorithm for automotive active suspension system. Int. J. Automotive Technology 10,6, 703–710.

    Article  Google Scholar 

  • Goodarzi, A. and Alirezaie, M. (2009). Integrated fuzzy/optimal vehicle dynamic control. Int. J. Automotive Technology 10,5, 567–575.

    Article  Google Scholar 

  • Hossain, A., Rahman, A. and Mohiuddin, A. K. M. (2010). Load distribution for an intelligent air-cushion track vehicle based on optimal power consumption. Int. J. Vehicle Systems Modelling and Testing 5,2/3, 237–253.

    Article  Google Scholar 

  • Jamaluddin, B. J. (2002). Sarawak: Peat agricultural use. Malaysian Agriculture Research and Development Institute (MARDI), 1–12.

  • Kevin, M. P. and Stephen, Y. (1998). Fuzzy Control. Addison Wesley Longman, Inc. Menlo Park. USA.

    Google Scholar 

  • Luo, Z. and Fan, Y. (2007). Load distribution control system design for a semi-track air-cushion vehicle. J. Terramechanics 44,4, 319–325.

    Article  MathSciNet  Google Scholar 

  • Marakoglu, T. and Carman, K. (2010). Fuzzy knowledge-based model for prediction of soil loosening and draft efficiency in tillage. J. Terramechanics, 47, 173–178.

    Article  Google Scholar 

  • Okello, J. A., Watany, M. and Crolla, D. A. (1998). Theoretical and experimental investigation of rubber track performance models. J. Agricultural Engineering Research, 69, 15–24.

    Article  Google Scholar 

  • Rahman, A., Mohiuddin, A. K. M., Ismail, A. F., Yahya, A. and Hossain, A. (2010). Development of hybrid electrical air-cushion tracked vehicle for swamp peat. J. Terramechanics, 47, 45–54.

    Article  Google Scholar 

  • Sreenatha, G. A., Choi, J. Y. and Wong, P. P. (2004). Design and implementation of fuzzy logic controller for wing rock. Int. J. Control, Automation, and Systems 2,4, 494–500.

    Google Scholar 

  • Wong, J. Y. (2008). Theory of Ground Vehicles. John Willey & Sons, Inc. New York.

    Google Scholar 

  • Xie, D., Luo, Z. and Yu, F. (2009). The computing of the optimal power consumption for semi-track air-cushion vehicle using hybrid generalized external optimization. Applied Mathematical Modelling, 33, 2831–2844.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, 50728, Malaysia

    A. Hossain, A. Rahman & A. K. M. Mohiuddin

  2. Department of Mechanical Engineering, Faculty of Engineering, Universiti Industri Selangor (Unisel), Kuala Selangor, 45600, Malaysia

    A. Hossain

Authors
  1. A. Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. K. M. Mohiuddin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Hossain.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hossain, A., Rahman, A. & Mohiuddin, A.K.M. Fuzzy expert system for controlling swamp terrain intelligent air-cushion tracked vehicle. Int.J Automot. Technol. 12, 745–753 (2011). https://doi.org/10.1007/s12239-011-0086-9

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12239-011-0086-9

Key Words

Search

Navigation