Araştırma Makalesi
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Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper

Yıl 2020, Cilt: 1 Sayı: 1, 1 - 10, 31.12.2020

Öz

In this study, the one DOF quarter car suspension system moving on flexible structure likewise Euler-Bernoulli bridge beam with the simple supported boundary condition is studied. The vibrations due to the interaction between moving car and bridge beam has been reduced with the tuned mass damper (TMD) attached to beam and active control of linear actuator placed to suspension system. Then, a fuzzy logic control algorithm is designed for inspection forces transmitted to vehicle body. For the numerically analysis, three different models have been presented to compare performance’s fuzzy logic controller designed in this study. Consequently, it is understood that most effective technique to suppress car body and bridge vibration is method in which TMD and fuzzy logic controller are used together.

Kaynakça

  • [1]J. Han, Y. Hayashi, P. Jia, and Q. Yuan, “Economic Effect of High-Speed Rail: Empirical Analysis of Shinkansen’s Impact on Industrial Location,” J. Transp. Eng., vol. 138, no. 12, pp. 1551–1557, Dec. 2012.
  • [2]X. Jin, “A measurement and evaluation method for wheel-rail contact forces and axle stresses of high-speed train,” Measurement, vol. 149, p. 106983, Jan. 2020.
  • [3]İ. Esen and M. A. Koç, “Optimization of a passive vibration absorber for a barrel using the genetic algorithm,” Expert Syst. Appl., vol. 42, no. 2, pp. 894–905, 2015.
  • [4]I. Esen and M. A. Koç, “Dynamic response of a 120 mm smoothbore tank barrel during horizontal and inclined firing positions,” Lat. Am. J. Solids Struct., vol. 12, no. 8, 2015.
  • [5]M. A. Koç, İ. Esen, and Y. Çay, “Tip deflection determination of a barrel for the effect of an accelerating projectile before firing using finite element and artificial neural network combined algorithm,” Lat. Am. J. Solids Struct., vol. 13, no. 10, pp. 1968–1995, 2016
  • [6]İ. Esen and M. A. Koç, “35 mm Uçaksavar Topu Namlusu için Titreşim Absorberi Tasarımı ve Genetik Algoritma ile Optimizasyonu,” in Otomatik Kontrol Ulusal Toplantısı-TOK 2013, 2013, pp. 513–518.
  • [7]M.-K. Song, H.-C. Noh, and C.-K. Choi, “A new three-dimensional finite element analysis model of high-speed train–bridge interactions,” Eng. Struct., vol. 25, no. 13, pp. 1611–1626, 2003.
  • [8]J. D. Yau, M. D. Martínez-Rodrigo, and A. Doménech, “An equivalent additional damping approach to assess vehicle-bridge interaction for train-induced vibration of short-span railway bridges,” Eng. Struct., vol. 188, no. January, pp. 469–479, 2019.
  • [9]K. Youcef, T. Sabiha, D. El Mostafa, D. Ali, and M. Bachir, “Dynamic analysis of train-bridge system and riding comfort of trains,” J. Mech. Sci. Technol., vol. 27, no. 4, pp. 951–962, 2013.
  • [10]B. Biondi, G. Muscolino, and A. Sofi, “A substructure approach for the dynamic analysis of train-track-bridge system,” Comput. Struct., vol. 83, no. 28-30 SPEC. ISS., pp. 2271–2281, 2005.
  • [11]M. Majka and M. Hartnett, “Effects of speed , load and damping on the dynamic response of railway bridges and vehicles,” Comput. Struct., vol. 86, pp. 556–572, 2008.
  • [12]M. Valášek, W. Kortüm, Z. Šika, L. Magdolen, and O. Vaculín, “Development of semi-active road-friendly truck suspensions,” Control Eng. Pract., vol.6, no. 6, pp. 735–744, 1998.
  • [13]J. F. Wang, C. C. Lin, and B. L. Chen, “Vibration suppression for high-speed railway bridges using tuned mass dampers,” Int. J. Solids Struct., vol. 40, no. 2, pp. 465–491, 2003.
  • [14]Z. Y. Gao, B. Tian, D. P. Wu, and Y. S. Chang, “Study on semi-active control of running stability in the high-speed train under unsteady aerodynamic loads and track excitation,” Veh. Syst. Dyn., pp. 1–14, Sep. 2019.
  • [15]M. J. Thoresson, P. E. Uys, P. S. Els, and J. A. Snyman, “Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method, Part 1: Mathematical modelling,” Math. Comput. Model., vol. 50, no. 9–10, pp. 1421–1436, 2009.
  • [16]P. E. Uys, P. S. Els, and M. Thoresson, “Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds,” J. Terramechanics, vol. 44, pp. 163–175, 2007.
  • [17]S. K. Sharma and A. Kumar, “Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system,” Proc. Inst. Mech. Eng. Part K J. Multi-body Dyn., vol. 232, no. 1, pp. 32–48, 2018.
  • [18]Q. Zhu, L. Li, C. J. Chen, C. Z. Liu, and G. Di Hu, “A Low-Cost Lateral Active Suspension System of the High-Speed Train for Ride Quality Based on the Resonant Control Method,” IEEE Trans. Ind. Electron., vol. 65, no. 5, pp. 4187–4196, 2018.
  • [19]M. Düğenci, A. Aydemir, İ. Esen, and M. E. Aydın, “Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms,” Eng. Appl. Artif. Intell., vol. 45, pp. 71–79, Oct. 2015.
  • [20]H. Altınkaya, İ. M. Orak, and İ. Esen, “Artificial neural network application for modeling the rail rolling process,” Expert Syst. Appl., vol. 41, no. 16, pp. 7135–7146, 2014.
  • [21]M. Metin and R. Guclu, “Active vibration control with comparative algorithms of half rail vehicle model under various track irregularities,” JVC/Journal Vib. Control, vol. 17, no. 10, pp. 1525–1539, 2011.
  • [22]Z. Yang, J. Zhang, Z. Chen, and B. Zhang, “Semi-active Control of High-speed Trains Based on Fuzzy PID Control,” Procedia Eng., vol. 15, pp. 521–525, Jan. 2011.[23]W. K. Gawronski, Advanced Dynamics and Active Control of Structures. 2004.
Yıl 2020, Cilt: 1 Sayı: 1, 1 - 10, 31.12.2020

Öz

Kaynakça

  • [1]J. Han, Y. Hayashi, P. Jia, and Q. Yuan, “Economic Effect of High-Speed Rail: Empirical Analysis of Shinkansen’s Impact on Industrial Location,” J. Transp. Eng., vol. 138, no. 12, pp. 1551–1557, Dec. 2012.
  • [2]X. Jin, “A measurement and evaluation method for wheel-rail contact forces and axle stresses of high-speed train,” Measurement, vol. 149, p. 106983, Jan. 2020.
  • [3]İ. Esen and M. A. Koç, “Optimization of a passive vibration absorber for a barrel using the genetic algorithm,” Expert Syst. Appl., vol. 42, no. 2, pp. 894–905, 2015.
  • [4]I. Esen and M. A. Koç, “Dynamic response of a 120 mm smoothbore tank barrel during horizontal and inclined firing positions,” Lat. Am. J. Solids Struct., vol. 12, no. 8, 2015.
  • [5]M. A. Koç, İ. Esen, and Y. Çay, “Tip deflection determination of a barrel for the effect of an accelerating projectile before firing using finite element and artificial neural network combined algorithm,” Lat. Am. J. Solids Struct., vol. 13, no. 10, pp. 1968–1995, 2016
  • [6]İ. Esen and M. A. Koç, “35 mm Uçaksavar Topu Namlusu için Titreşim Absorberi Tasarımı ve Genetik Algoritma ile Optimizasyonu,” in Otomatik Kontrol Ulusal Toplantısı-TOK 2013, 2013, pp. 513–518.
  • [7]M.-K. Song, H.-C. Noh, and C.-K. Choi, “A new three-dimensional finite element analysis model of high-speed train–bridge interactions,” Eng. Struct., vol. 25, no. 13, pp. 1611–1626, 2003.
  • [8]J. D. Yau, M. D. Martínez-Rodrigo, and A. Doménech, “An equivalent additional damping approach to assess vehicle-bridge interaction for train-induced vibration of short-span railway bridges,” Eng. Struct., vol. 188, no. January, pp. 469–479, 2019.
  • [9]K. Youcef, T. Sabiha, D. El Mostafa, D. Ali, and M. Bachir, “Dynamic analysis of train-bridge system and riding comfort of trains,” J. Mech. Sci. Technol., vol. 27, no. 4, pp. 951–962, 2013.
  • [10]B. Biondi, G. Muscolino, and A. Sofi, “A substructure approach for the dynamic analysis of train-track-bridge system,” Comput. Struct., vol. 83, no. 28-30 SPEC. ISS., pp. 2271–2281, 2005.
  • [11]M. Majka and M. Hartnett, “Effects of speed , load and damping on the dynamic response of railway bridges and vehicles,” Comput. Struct., vol. 86, pp. 556–572, 2008.
  • [12]M. Valášek, W. Kortüm, Z. Šika, L. Magdolen, and O. Vaculín, “Development of semi-active road-friendly truck suspensions,” Control Eng. Pract., vol.6, no. 6, pp. 735–744, 1998.
  • [13]J. F. Wang, C. C. Lin, and B. L. Chen, “Vibration suppression for high-speed railway bridges using tuned mass dampers,” Int. J. Solids Struct., vol. 40, no. 2, pp. 465–491, 2003.
  • [14]Z. Y. Gao, B. Tian, D. P. Wu, and Y. S. Chang, “Study on semi-active control of running stability in the high-speed train under unsteady aerodynamic loads and track excitation,” Veh. Syst. Dyn., pp. 1–14, Sep. 2019.
  • [15]M. J. Thoresson, P. E. Uys, P. S. Els, and J. A. Snyman, “Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method, Part 1: Mathematical modelling,” Math. Comput. Model., vol. 50, no. 9–10, pp. 1421–1436, 2009.
  • [16]P. E. Uys, P. S. Els, and M. Thoresson, “Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds,” J. Terramechanics, vol. 44, pp. 163–175, 2007.
  • [17]S. K. Sharma and A. Kumar, “Ride comfort of a higher speed rail vehicle using a magnetorheological suspension system,” Proc. Inst. Mech. Eng. Part K J. Multi-body Dyn., vol. 232, no. 1, pp. 32–48, 2018.
  • [18]Q. Zhu, L. Li, C. J. Chen, C. Z. Liu, and G. Di Hu, “A Low-Cost Lateral Active Suspension System of the High-Speed Train for Ride Quality Based on the Resonant Control Method,” IEEE Trans. Ind. Electron., vol. 65, no. 5, pp. 4187–4196, 2018.
  • [19]M. Düğenci, A. Aydemir, İ. Esen, and M. E. Aydın, “Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms,” Eng. Appl. Artif. Intell., vol. 45, pp. 71–79, Oct. 2015.
  • [20]H. Altınkaya, İ. M. Orak, and İ. Esen, “Artificial neural network application for modeling the rail rolling process,” Expert Syst. Appl., vol. 41, no. 16, pp. 7135–7146, 2014.
  • [21]M. Metin and R. Guclu, “Active vibration control with comparative algorithms of half rail vehicle model under various track irregularities,” JVC/Journal Vib. Control, vol. 17, no. 10, pp. 1525–1539, 2011.
  • [22]Z. Yang, J. Zhang, Z. Chen, and B. Zhang, “Semi-active Control of High-speed Trains Based on Fuzzy PID Control,” Procedia Eng., vol. 15, pp. 521–525, Jan. 2011.[23]W. K. Gawronski, Advanced Dynamics and Active Control of Structures. 2004.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka
Bölüm Araştırma Makaleleri
Yazarlar

Mehmet Akif Koç Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 1 Sayı: 1

Kaynak Göster

APA Koç, M. A. (2020). Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper. Journal of Smart Systems Research, 1(1), 1-10.
AMA Koç MA. Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper. JoinSSR. Aralık 2020;1(1):1-10.
Chicago Koç, Mehmet Akif. “Fuzzy Logic Control of Vibrations Due to Interaction One DOF Vehicle Suspension and Flexible Structure With Tuned Mass Damper”. Journal of Smart Systems Research 1, sy. 1 (Aralık 2020): 1-10.
EndNote Koç MA (01 Aralık 2020) Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper. Journal of Smart Systems Research 1 1 1–10.
IEEE M. A. Koç, “Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper”, JoinSSR, c. 1, sy. 1, ss. 1–10, 2020.
ISNAD Koç, Mehmet Akif. “Fuzzy Logic Control of Vibrations Due to Interaction One DOF Vehicle Suspension and Flexible Structure With Tuned Mass Damper”. Journal of Smart Systems Research 1/1 (Aralık 2020), 1-10.
JAMA Koç MA. Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper. JoinSSR. 2020;1:1–10.
MLA Koç, Mehmet Akif. “Fuzzy Logic Control of Vibrations Due to Interaction One DOF Vehicle Suspension and Flexible Structure With Tuned Mass Damper”. Journal of Smart Systems Research, c. 1, sy. 1, 2020, ss. 1-10.
Vancouver Koç MA. Fuzzy Logic Control of Vibrations due to Interaction One DOF Vehicle Suspension and Flexible Structure with Tuned Mass Damper. JoinSSR. 2020;1(1):1-10.