Research Article
BibTex RIS Cite
Year 2021, Volume: 25 Issue: 5, 1197 - 1209, 30.10.2021
https://doi.org/10.16984/saufenbilder.863063

Abstract

References

  • [1] R. Güçlü, "Active control of seat vibrations of a vehicle model using various suspension alternatives," Turkish J. Eng. Environ. Sci. 27 (2003) 361–373. https://doi.org/10.3906/sag-1204-7.
  • [2] M.A. Koç, "Dynamic Response and Fuzzy Control of Half-Car High-Speed Train and Bridge Interaction," Acad. Perspect. Procedia. 3 (2020) 519–529. https://doi.org/10.33793/acperpro.03.01.1 00.
  • [3] H. Khodadadi, and H. Ghadiri, "Selftuning PID controller design using fuzzy logic for half car active suspension system," Int. J. Dyn. Control. 6 (2018) 224–232. https://doi.org/10.1007/s40435- 016-0291-5.
  • [4] P. Swethamarai, and P. Lakshmi, "Design and implementation of fuzzy-PID controller for an active quarter car driver model to minimize driver body acceleration," IEEE Int. Syst. Conf. (2019) 1–6. https://doi.org/10.1109/SYSCON.2019.88 36940.
  • [5] X. Min, Y. Li, and S. Tong, "Adaptive fuzzy output feedback inverse optimal control for vehicle active suspension systems," Neurocomputing. 403 (2020) 257–267. https://doi.org/10.1016/j.neucom.2020.04. 096.
  • [6] M. Metin, and R. Guclu, "Active vibration control with comparative algorithms of half rail vehicle model under various track irregularities," JVC/Journal Vib. Control. 17 (2011) 1525–1539. https://doi.org/10.1177/107754631038109 9.
  • [7] M. Metin, and R. Güçlü, "Vibrations control of light rail transportation vehicle via PID type fuzzy controller using parameters adaptive method," Turkish J. Electr. Eng. Comput. Sci. 19 (2011) 807– 816. https://doi.org/10.3906/elk-1001-394.
  • [8] O. Demir, I. Keskin, and S. Cetin, "Modeling and control of a nonlinear halfvehicle suspension system: A hybrid fuzzy logic approach," Nonlinear Dyn. 67 (2012) 2139–2151. https://doi.org/10.1007/s11071-011-0135- y.
  • [9] D. Singh, and M.L. Aggarwal, "Passenger seat vibration control of a semi-active quarter car system with hybrid Fuzzy–PID approach", Int. J. Dyn. Control. 5 (2017) 287–296. https://doi.org/10.1007/s40435- 015-0175-0.
  • [10] M. Paksoy, R. Guclu, and S. Cetin, "Semiactive self-tuning fuzzy logic control of full vehicle model with MR damper,"" Adv. Mech. Eng. 2014 (2014). https://doi.org/10.1155/2014/816813.
  • [11] Y.Q. Zhang, Y.S. Zhao, J. Yang, and L.P. Chen, "A dynamic sliding-mode controller with fuzzy adaptive tuning for an active suspension system," Proc. Inst. Mech. Eng. Part D J. Automob. Eng. 221 (2007) 417– 428. https://doi.org/10.1243/09544070JAUTO3 79.
  • [12] R. Bai, and D. Guo, "Sliding-mode control of the active suspension system with the dynamics of a hydraulic actuator," Complexity. 2018 (2018). https://doi.org/10.1155/2018/5907208.
  • [13] M. Du, D. Zhao, B. Yang, and L. Wang, "Terminal sliding mode control for full vehicle active suspension systems," J. Mech. Sci. Technol. 32 (2018) 2851–2866. https://doi.org/10.1007/s12206-018-0541- x.
  • [14] D. Singh, "Passenger body vibration control in active quarter car model using ANFIS based super twisting sliding mode controller," Simul. Model. Pract. Theory. 89 (2018) 100–118. https://doi.org/10.1016/j.simpat.2018.09.0 10.
  • [15] L.Z. Ben, F. Hasbullah, and F.W. Faris, "A comparative ride performance of passive, semi-active and active suspension systems for off-road vehicles using half car model," Int. J. Heavy Veh. Syst. 21 (2014) 26–41. https://doi.org/10.1504/IJHVS.2014.0578 27.
  • [16] A. Agharkakli, G.S. Sabet, and A. Barouz, "Simulation and Analysis of Passive and Active Suspension System Using Quarter Car Model for Different Road Profile," Int. J. Eng. Trends Technol. 3 (2012) 636–644.
  • [17] J. Mrazgua, R. Chaibi, E.H. Tissir, and M. Ouahi, "Static output feedback stabilization of T-S fuzzy active suspension systems," J. Terramechanics. 97 (2021) 19–27. https://doi.org/10.1016/j.jterra.2021.05.00 1.
  • [18] G.I.Y. Mustafa, H.P. Wang, and Y. Tian, "Vibration control of an active vehicle suspension systems using optimized model-free fuzzy logic controller based on time delay estimation," Adv. Eng. Softw. 127 (2019) 141–149. https://doi.org/10.1016/j.advengsoft.2018. 04.009.
  • [19] L. Frýba, "Vibration of Solids and Structures under Moving Loads," 3rd ed., Thomas Telford, London, ISBN 0-7277- 2741-9, (1999).
  • [20] L. A. Zadeh, "Fuzzy sets," Information and Control (1965) 338–353. https://www.sciencedirect.com/science/art icle/pii/S001999586590241X.
  • [21] C. Mizrak, and I. Esen, "Determining Effects of Wagon Mass and Vehicle Velocity on Vertical Vibrations of a Rail Vehicle Moving with a Constant Acceleration on a Bridge Using Experimental and Numerical Methods," Shock Vib. 2015 (2015). https://doi.org/10.1155/2015/183450.

Self-tuning fuzzy logic control of quarter car and bridge interaction model

Year 2021, Volume: 25 Issue: 5, 1197 - 1209, 30.10.2021
https://doi.org/10.16984/saufenbilder.863063

Abstract

In this study, active suspension control of the interaction between the bridge can be modeled according to the Euler-Bernoulli beam theory, and the quarter car model with three degrees of freedom is studied. The active suspension system consists of a spring, damper, and linear actuator. The active suspension control is designed using classical PID and self-tuning fuzzy PID (STFPID) to reduce the vehicle body's disruptive effects. To determine the performance of the designed controllers, two different road profiles with the bridge oscillations caused by the bridge flexibility were considered as the disruptive effect of the vehicle. When the simulation results were examined in terms of passenger seat displacement and acceleration, the proposed STFPID method significantly increased road holding and ride comfort.

References

  • [1] R. Güçlü, "Active control of seat vibrations of a vehicle model using various suspension alternatives," Turkish J. Eng. Environ. Sci. 27 (2003) 361–373. https://doi.org/10.3906/sag-1204-7.
  • [2] M.A. Koç, "Dynamic Response and Fuzzy Control of Half-Car High-Speed Train and Bridge Interaction," Acad. Perspect. Procedia. 3 (2020) 519–529. https://doi.org/10.33793/acperpro.03.01.1 00.
  • [3] H. Khodadadi, and H. Ghadiri, "Selftuning PID controller design using fuzzy logic for half car active suspension system," Int. J. Dyn. Control. 6 (2018) 224–232. https://doi.org/10.1007/s40435- 016-0291-5.
  • [4] P. Swethamarai, and P. Lakshmi, "Design and implementation of fuzzy-PID controller for an active quarter car driver model to minimize driver body acceleration," IEEE Int. Syst. Conf. (2019) 1–6. https://doi.org/10.1109/SYSCON.2019.88 36940.
  • [5] X. Min, Y. Li, and S. Tong, "Adaptive fuzzy output feedback inverse optimal control for vehicle active suspension systems," Neurocomputing. 403 (2020) 257–267. https://doi.org/10.1016/j.neucom.2020.04. 096.
  • [6] M. Metin, and R. Guclu, "Active vibration control with comparative algorithms of half rail vehicle model under various track irregularities," JVC/Journal Vib. Control. 17 (2011) 1525–1539. https://doi.org/10.1177/107754631038109 9.
  • [7] M. Metin, and R. Güçlü, "Vibrations control of light rail transportation vehicle via PID type fuzzy controller using parameters adaptive method," Turkish J. Electr. Eng. Comput. Sci. 19 (2011) 807– 816. https://doi.org/10.3906/elk-1001-394.
  • [8] O. Demir, I. Keskin, and S. Cetin, "Modeling and control of a nonlinear halfvehicle suspension system: A hybrid fuzzy logic approach," Nonlinear Dyn. 67 (2012) 2139–2151. https://doi.org/10.1007/s11071-011-0135- y.
  • [9] D. Singh, and M.L. Aggarwal, "Passenger seat vibration control of a semi-active quarter car system with hybrid Fuzzy–PID approach", Int. J. Dyn. Control. 5 (2017) 287–296. https://doi.org/10.1007/s40435- 015-0175-0.
  • [10] M. Paksoy, R. Guclu, and S. Cetin, "Semiactive self-tuning fuzzy logic control of full vehicle model with MR damper,"" Adv. Mech. Eng. 2014 (2014). https://doi.org/10.1155/2014/816813.
  • [11] Y.Q. Zhang, Y.S. Zhao, J. Yang, and L.P. Chen, "A dynamic sliding-mode controller with fuzzy adaptive tuning for an active suspension system," Proc. Inst. Mech. Eng. Part D J. Automob. Eng. 221 (2007) 417– 428. https://doi.org/10.1243/09544070JAUTO3 79.
  • [12] R. Bai, and D. Guo, "Sliding-mode control of the active suspension system with the dynamics of a hydraulic actuator," Complexity. 2018 (2018). https://doi.org/10.1155/2018/5907208.
  • [13] M. Du, D. Zhao, B. Yang, and L. Wang, "Terminal sliding mode control for full vehicle active suspension systems," J. Mech. Sci. Technol. 32 (2018) 2851–2866. https://doi.org/10.1007/s12206-018-0541- x.
  • [14] D. Singh, "Passenger body vibration control in active quarter car model using ANFIS based super twisting sliding mode controller," Simul. Model. Pract. Theory. 89 (2018) 100–118. https://doi.org/10.1016/j.simpat.2018.09.0 10.
  • [15] L.Z. Ben, F. Hasbullah, and F.W. Faris, "A comparative ride performance of passive, semi-active and active suspension systems for off-road vehicles using half car model," Int. J. Heavy Veh. Syst. 21 (2014) 26–41. https://doi.org/10.1504/IJHVS.2014.0578 27.
  • [16] A. Agharkakli, G.S. Sabet, and A. Barouz, "Simulation and Analysis of Passive and Active Suspension System Using Quarter Car Model for Different Road Profile," Int. J. Eng. Trends Technol. 3 (2012) 636–644.
  • [17] J. Mrazgua, R. Chaibi, E.H. Tissir, and M. Ouahi, "Static output feedback stabilization of T-S fuzzy active suspension systems," J. Terramechanics. 97 (2021) 19–27. https://doi.org/10.1016/j.jterra.2021.05.00 1.
  • [18] G.I.Y. Mustafa, H.P. Wang, and Y. Tian, "Vibration control of an active vehicle suspension systems using optimized model-free fuzzy logic controller based on time delay estimation," Adv. Eng. Softw. 127 (2019) 141–149. https://doi.org/10.1016/j.advengsoft.2018. 04.009.
  • [19] L. Frýba, "Vibration of Solids and Structures under Moving Loads," 3rd ed., Thomas Telford, London, ISBN 0-7277- 2741-9, (1999).
  • [20] L. A. Zadeh, "Fuzzy sets," Information and Control (1965) 338–353. https://www.sciencedirect.com/science/art icle/pii/S001999586590241X.
  • [21] C. Mizrak, and I. Esen, "Determining Effects of Wagon Mass and Vehicle Velocity on Vertical Vibrations of a Rail Vehicle Moving with a Constant Acceleration on a Bridge Using Experimental and Numerical Methods," Shock Vib. 2015 (2015). https://doi.org/10.1155/2015/183450.
There are 21 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Research Articles
Authors

Mustafa Eroğlu 0000-0002-1429-7656

Mehmet Akif Koç 0000-0001-7461-9795

Recep Kozan 0000-0001-8544-883X

İsmail Esen 0000-0002-7853-1464

Publication Date October 30, 2021
Submission Date January 17, 2021
Acceptance Date September 20, 2021
Published in Issue Year 2021 Volume: 25 Issue: 5

Cite

APA Eroğlu, M., Koç, M. A., Kozan, R., Esen, İ. (2021). Self-tuning fuzzy logic control of quarter car and bridge interaction model. Sakarya University Journal of Science, 25(5), 1197-1209. https://doi.org/10.16984/saufenbilder.863063
AMA Eroğlu M, Koç MA, Kozan R, Esen İ. Self-tuning fuzzy logic control of quarter car and bridge interaction model. SAUJS. October 2021;25(5):1197-1209. doi:10.16984/saufenbilder.863063
Chicago Eroğlu, Mustafa, Mehmet Akif Koç, Recep Kozan, and İsmail Esen. “Self-Tuning Fuzzy Logic Control of Quarter Car and Bridge Interaction Model”. Sakarya University Journal of Science 25, no. 5 (October 2021): 1197-1209. https://doi.org/10.16984/saufenbilder.863063.
EndNote Eroğlu M, Koç MA, Kozan R, Esen İ (October 1, 2021) Self-tuning fuzzy logic control of quarter car and bridge interaction model. Sakarya University Journal of Science 25 5 1197–1209.
IEEE M. Eroğlu, M. A. Koç, R. Kozan, and İ. Esen, “Self-tuning fuzzy logic control of quarter car and bridge interaction model”, SAUJS, vol. 25, no. 5, pp. 1197–1209, 2021, doi: 10.16984/saufenbilder.863063.
ISNAD Eroğlu, Mustafa et al. “Self-Tuning Fuzzy Logic Control of Quarter Car and Bridge Interaction Model”. Sakarya University Journal of Science 25/5 (October 2021), 1197-1209. https://doi.org/10.16984/saufenbilder.863063.
JAMA Eroğlu M, Koç MA, Kozan R, Esen İ. Self-tuning fuzzy logic control of quarter car and bridge interaction model. SAUJS. 2021;25:1197–1209.
MLA Eroğlu, Mustafa et al. “Self-Tuning Fuzzy Logic Control of Quarter Car and Bridge Interaction Model”. Sakarya University Journal of Science, vol. 25, no. 5, 2021, pp. 1197-09, doi:10.16984/saufenbilder.863063.
Vancouver Eroğlu M, Koç MA, Kozan R, Esen İ. Self-tuning fuzzy logic control of quarter car and bridge interaction model. SAUJS. 2021;25(5):1197-209.

Sakarya University Journal of Science (SAUJS)