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Year 2018, Volume: 7 Issue: 1, 38 - 47, 03.04.2018
https://doi.org/10.18245/ijaet.438045

Abstract

References

  • G. Priyandoko, M. Mailah, and H. Jamaluddin, "Vehicle active suspension system using skyhook adaptive neuro active force control," Mechanical systems and signal processing, vol. 23, pp. 855-868, 2009.
  • L.-S. Jorge de-J, R. Morales-Menendez, and R. A. Ramirez-Mendoza, "Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach," Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, p. 0954407013517222, 2014.
  • Q. Guo and D. Hua, "Intelligent Control of Vehicle Magneto-Rheological Semi-Active Suspension," Metallurgical & Mining Industry, 2015.
  • J. Rabinow, "The magnetic fluid clutch," Electrical Engineering, vol. 67, pp. 1167-1167, 1948.
  • M.-S. Seong, S.-B. Choi, and K.-G. Sung, "Control Strategies for Vehicle Suspension System Featuring Magnetorheological (MR) Damper," in Vibration Analysis and Control-New Trends and Developments, ed: InTech, 2011.
  • R. Stanway, J. Sproston, and N. Stevens, "Non-linear modelling of an electro-rheological vibration damper," Journal of Electrostatics, vol. 20, pp. 167-184, 1987.
  • S. Guo, S. Yang, and C. Pan, "Dynamic modeling of magnetorheological damper behaviors," Journal of Intelligent material systems and structures, vol. 17, pp. 3-14, 2006.
  • R. Bouc, "A mathematical model for hysteresis," Acta Acustica united with Acustica, vol. 24, pp. 16-25, 1971.
  • Y.-K. Wen, "Method for random vibration of hysteretic systems," Journal of the engineering mechanics division, vol. 102, pp. 249-263, 1976.
  • B. Spencer Jr, S. Dyke, M. Sain, and J. Carlson, "Phenomenological model for magnetorheological dampers," Journal of engineering mechanics, vol. 123, pp. 230-238, 1997.
  • Y. Shen, M. Golnaraghi, and G. Heppler, "Analytical and experimental study of the response of a suspension system with a magnetorheological damper," Journal of intelligent material systems and structures, vol. 16, pp. 135-147, 2005.
  • C. C. De Wit and P. Tsiotras, "Dynamic tire friction models for vehicle traction control," in Decision and Control, 1999. Proceedings of the 38th IEEE Conference on, 1999, pp. 3746-3751.
  • D. Wang and W. H. Liao, "Magnetorheological fluid dampers: a review of parametric modelling," Smart materials and structures, vol. 20, p. 023001, 2011.

Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper

Year 2018, Volume: 7 Issue: 1, 38 - 47, 03.04.2018
https://doi.org/10.18245/ijaet.438045

Abstract

ABSTRACT
With the increasing demand of the drive safety and ride comfort of vehicles, various new technologies are being applied in vehicle suspension system. In this case, the magneto-rheological damper can adjust the damping dynamically, and fuzzy logic controller development to track the desired damping force is possible. The combination of two will effectively improve the suspension performance. Thereafter, a model built in Simulink is composed by road model, quarter vehicle model, Magneto Rheological damper model based on Bouc Wen model, damper coil current controller model and Fuzzy logical controller to track the desired damping force. The results obtained from road models have been used in combined simulation model. Finally, the comparative simulation experiments of passive suspension and semi-active suspension with magneto rheological damper was performed. The results show that, the ride comfort of quarter car model has been improved 10% compared to passive suspension; and vehicle stability 30% respectively.

References

  • G. Priyandoko, M. Mailah, and H. Jamaluddin, "Vehicle active suspension system using skyhook adaptive neuro active force control," Mechanical systems and signal processing, vol. 23, pp. 855-868, 2009.
  • L.-S. Jorge de-J, R. Morales-Menendez, and R. A. Ramirez-Mendoza, "Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach," Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, p. 0954407013517222, 2014.
  • Q. Guo and D. Hua, "Intelligent Control of Vehicle Magneto-Rheological Semi-Active Suspension," Metallurgical & Mining Industry, 2015.
  • J. Rabinow, "The magnetic fluid clutch," Electrical Engineering, vol. 67, pp. 1167-1167, 1948.
  • M.-S. Seong, S.-B. Choi, and K.-G. Sung, "Control Strategies for Vehicle Suspension System Featuring Magnetorheological (MR) Damper," in Vibration Analysis and Control-New Trends and Developments, ed: InTech, 2011.
  • R. Stanway, J. Sproston, and N. Stevens, "Non-linear modelling of an electro-rheological vibration damper," Journal of Electrostatics, vol. 20, pp. 167-184, 1987.
  • S. Guo, S. Yang, and C. Pan, "Dynamic modeling of magnetorheological damper behaviors," Journal of Intelligent material systems and structures, vol. 17, pp. 3-14, 2006.
  • R. Bouc, "A mathematical model for hysteresis," Acta Acustica united with Acustica, vol. 24, pp. 16-25, 1971.
  • Y.-K. Wen, "Method for random vibration of hysteretic systems," Journal of the engineering mechanics division, vol. 102, pp. 249-263, 1976.
  • B. Spencer Jr, S. Dyke, M. Sain, and J. Carlson, "Phenomenological model for magnetorheological dampers," Journal of engineering mechanics, vol. 123, pp. 230-238, 1997.
  • Y. Shen, M. Golnaraghi, and G. Heppler, "Analytical and experimental study of the response of a suspension system with a magnetorheological damper," Journal of intelligent material systems and structures, vol. 16, pp. 135-147, 2005.
  • C. C. De Wit and P. Tsiotras, "Dynamic tire friction models for vehicle traction control," in Decision and Control, 1999. Proceedings of the 38th IEEE Conference on, 1999, pp. 3746-3751.
  • D. Wang and W. H. Liao, "Magnetorheological fluid dampers: a review of parametric modelling," Smart materials and structures, vol. 20, p. 023001, 2011.
There are 13 citations in total.

Details

Journal Section Article
Authors

Kazima Sosthene

Musabyimana Josee

Xiong Hui This is me

Publication Date April 3, 2018
Submission Date October 20, 2017
Published in Issue Year 2018 Volume: 7 Issue: 1

Cite

APA Sosthene, K., Josee, M., & Hui, X. (2018). Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies, 7(1), 38-47. https://doi.org/10.18245/ijaet.438045
AMA Sosthene K, Josee M, Hui X. Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies. April 2018;7(1):38-47. doi:10.18245/ijaet.438045
Chicago Sosthene, Kazima, Musabyimana Josee, and Xiong Hui. “Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper”. International Journal of Automotive Engineering and Technologies 7, no. 1 (April 2018): 38-47. https://doi.org/10.18245/ijaet.438045.
EndNote Sosthene K, Josee M, Hui X (April 1, 2018) Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies 7 1 38–47.
IEEE K. Sosthene, M. Josee, and X. Hui, “Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper”, International Journal of Automotive Engineering and Technologies, vol. 7, no. 1, pp. 38–47, 2018, doi: 10.18245/ijaet.438045.
ISNAD Sosthene, Kazima et al. “Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper”. International Journal of Automotive Engineering and Technologies 7/1 (April 2018), 38-47. https://doi.org/10.18245/ijaet.438045.
JAMA Sosthene K, Josee M, Hui X. Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies. 2018;7:38–47.
MLA Sosthene, Kazima et al. “Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper”. International Journal of Automotive Engineering and Technologies, vol. 7, no. 1, 2018, pp. 38-47, doi:10.18245/ijaet.438045.
Vancouver Sosthene K, Josee M, Hui X. Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies. 2018;7(1):38-47.