EN
Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper
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.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
-
Publication Date
April 3, 2018
Submission Date
October 20, 2017
Acceptance Date
-
Published in Issue
Year 2018 Volume: 7 Number: 1
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
1.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. doi:10.18245/ijaet.438045
Chicago
Sosthene, Kazima, Musabyimana Josee, and Xiong Hui. 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.
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
[1]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, Apr. 2018, doi: 10.18245/ijaet.438045.
ISNAD
Sosthene, Kazima - Josee, Musabyimana - Hui, Xiong. “Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper”. International Journal of Automotive Engineering and Technologies 7/1 (April 1, 2018): 38-47. https://doi.org/10.18245/ijaet.438045.
JAMA
1.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, Apr. 2018, pp. 38-47, doi:10.18245/ijaet.438045.
Vancouver
1.Kazima Sosthene, Musabyimana Josee, Xiong Hui. Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper. International Journal of Automotive Engineering and Technologies. 2018 Apr. 1;7(1):38-47. doi:10.18245/ijaet.438045
Cited By
Performance Comparison of Various controllers on Semi-Active Vehicle Suspension System
ITM Web of Conferences
https://doi.org/10.1051/itmconf/20214001001Effect of Optimal Fuzzy Models for Pneumatic Magnetorheological Suspension System on Ride Performance under Different Conditions
SAE International Journal of Vehicle Dynamics, Stability, and NVH
https://doi.org/10.4271/10-06-04-0028