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Performance Analysis of PID and Fuzzy Logic Controlled Semi-Active and Passive Suspension Elements on Full Vehicle Model

Umut Yaşar Esen1,
Muzaffer Metin2
1AVL Türkiye Research & Engineering
2Yildiz Technical University
Published:May 31, 2024
DOI: 10.56038/oprd.v4i1.456
Vol. 4, No. 1 · pp. 59–72

Abstract

In this study, the dynamic performances of full vehicle models were extensively investigated through simulations conducted in the MATLAB-Simulink environment to evaluate their responses to various system inputs, especially passive suspension elements and models equipped with semi-active Magneto-Rheological (MR) dampers. Initially, a full vehicle model was created using passive suspension elements, and the system behaviors against different road inputs are analyzed. Subsequently, integration of a semi-active MR damper onto the same full vehicle model is performed, and this specific damper was controlled using two different control methods: the first control method is selected as PID, and the second one as a Fuzzy Logic Controller (FLC). The system's responses to various road inputs are examined for both control methods and the respective controllers. This study stands out as a method used in the design and performance analysis of suspension systems for full-vehicle models. The results, especially regarding the control of semi-active MR dampers with a Fuzzy Logic Controller, indicate that semi-active dampers can respond more effectively to different road conditions and enhance ride comfort.

Keywords
Vehicle vibrationsMR damperSemi-active controlVehicle dynamicsFull vehicleFuzzy Logic ControllerPID Controller

References

  1. 1.Abdi H, Valentin D, Edelman BE (1999). Neural networks. Sage, Thousand Oaks
  2. 2.Abramowitz M, Stegun AI (1970) Handbook of mathematical function with formulas,
  3. 3.graphs, and mathematical tables. Applied Mathematical Series, N.B.S.
  4. 4.Agarwal M (1997) A systemic classification of neural-network-based control. IEEE Control
  5. 5.Syst Mag 17, 2:75–93
  6. 6.Agrawal A, Kulkarni P, Vieira SL, Naganathan NG (2001) An overview of magneto- and
  7. 7.electro-rheological fluids and their applications in fluid power systems. Int J Fluid
  8. 8.Power 2:5–36
  9. 9.Ahmadian M, Marjoram RH (1989) Effects of passive and semi-active suspension on body
  10. 10.and wheel-hop control. SAE paper 892487
  11. 11.METİN, MUZAFFER and GÜÇLÜ, RAHMİ (2011) "Vibrations control of light rail transportation vehicle via PID type fuzzy controller using parameters adaptive method," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 19: No. 5, Article 11
  12. 12.Al-Houlu N, Weaver J, Lahdhiri T, Joo DS (1999) Sliding mode-based fuzzy logic
  13. 13.controller for a vehicle suspension system. American Control Conference, San Diego,
  14. 14.USA, pp 4188–419
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Cite This Article
Esen, U. Y., Metin, M. (2024). Performance Analysis of PID and Fuzzy Logic Controlled Semi-Active and Passive Suspension Elements on Full Vehicle Model. *Orclever Proceedings of Research and Development*, 4(1), 59-72. https://doi.org/10.56038/oprd.v4i1.456

Bibliographic Info

JournalOrclever Proceedings of Research and Development
Volume4
Issue1
Pages59–72
PublishedMay 31, 2024
eISSN2980-020X