FUZZY LOGIC BASED- SKYHOOKSCHEME WITH FIREFLY ALGORITHM FOR SEMI-ACTIVE RIDE COMFORT

Authors

  • Mat Hussin Ab Talib Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Muhammad Khairul Ikhwan Khalid Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Wan Abdul Malik Wan Rahim Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Intan Zaurah Mat Darus Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Pakharuddin Mohd Samin Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia

Keywords:

Firefly algorithm, fuzzy logic, ride comfort, semi-active suspension, skyhook

Abstract

This paper presents the effect of the applying fuzzy logic based-skyhook scheme tuned using firefly algorithm (FLSS-FA) for semi-active ride comfort of quarter vehicle model. Spencer model was used to represent the magnetorheological damper model and its behavior was investigated in the form of force-displacement and force-velocity characteristics. The fuzzy logic control adopted with the skyhook policy based on Sugeno-type fuzzy was used to enhance the ride performance. An intelligent evolutionary algorithm known as the firefly algorithm (FA) was also adapted in the proposed controller to compute the fuzzy gain scaling. The performance of the FLSS-FA controller was compared with the FLPA, and continuous skyhook in time domain. Results show that the proposed FLSP-FA control gives better performance and able to improve the vehicle ride comfort that its counterparts.

References

Guglielmino, E., Sireteanu, T., Stammers, C., Ghita, G. and Giuclea, M. 2008.Semi-active Suspension Control. Verlag, London.

Sammier, D., Sename, O. and Dugard, L. 2010. Skyhook and H8 Control of Semi-active Suspensions : Some Practical Aspects, International Journal of vehicle mechanics and mobility, 39(4), 279–308.

Dong, X. and Yu, M. 2013. Genetic Algorithm Based Fuzzy Logic Control for a Magneto-rheological Suspension, Journal of Vibration and Control, 20(9), 1343–1355.

Qin, Y., Langari, R., Wang, Z., Xiang, C. and Dong, M. 2017. Road excitation classification for semi-active suspension system with deep neural networks,Journal of Intelligent and Fuzzy Ssytem, 33(3),1907–1918.

Khiavi, A.M., Mirzaei, M. and Hajimohammadi, S. 2013. A New Optimal Control Law For The Semi-Active Suspension System Considering the Nonlinear Magneto-rheological Damper Model,Journal of Vibration and Control, 20(14), 2221–2233.

Ubaidillah, Hudha, K. and Jamaluddin, H. 2011. Simulation and experimental evaluation on a skyhook policy-based fuzzy logic control for semi-active suspension system,Int. J. Structural Engineering,2(3), 243–272.

Magdanela, L. 1997. Adapting the gain of an FLC with genetic algorithms,International Journal of Approximate Reasoning, 17(97), 327–349.

Marcelo, T.A., Rafikov, M. and Manoel B.J. 2009. An Intelligent Controller Design for Magnetorheological Damper Based on a Quarter-Car,Journal of Vibration and Control, 15(12), 1907–1920.

Mahala, M.K., Gadkari, P. and Deb, A. 2009. Mathematical models for designing vehicles for ride comfort, Proceeding of the 2nd International Conference on Research into Design, India, 168–175.

Azar, B.F., Rahbari, N.M. and Talatahari, S. 2011. Seisimic mitigation of tall building using magnetorheological dampers, Asian Journal of Civil Engineering, 12(5), 637–649.

Spencer, B.F., Dyke, S.J., Sain, M.K. and Carlson, J.D. 1997. Phenomenological Model of a Magnetorheological Damper,Journal of Engineering Mechanics, 1-23.

Craft, M.J., Buckner, G.D. andAnderson, R.D. 2003. Semi-active vehicle shock absorbers: design and experimental evaluations,Proceedings of SPIE – The International Society for Optical Engineering, San Diego, 577–588.

Al-wagih, K. 2015. Improved Firefly Algorithm for Unconstrained Optimization Problems, International Journal of Computer Applications Technology and Research, 4(1), 77–81.

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Published

2018-11-26

How to Cite

Ab Talib, M. H., Khalid, M. K. I., Wan Rahim, W. A. M., Mat Darus, I. Z., & Mohd Samin, P. (2018). FUZZY LOGIC BASED- SKYHOOKSCHEME WITH FIREFLY ALGORITHM FOR SEMI-ACTIVE RIDE COMFORT. Journal of Transport System Engineering, 5(1). Retrieved from https://jtse.utm.my/index.php/jtse/article/view/87

Issue

Vol. 5 No. 1 (2018): Volume 5 Issue 1 (December)

Section

Transport System Engineering

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