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Yarı Aktif Taşıt Süspansiyon Sistemin Döngüde Donanımsal Benzetim Yapısı Kullanılarak Kontrolü

Year 2022, Volume: 1 Issue: 1, 43 - 53, 18.08.2022

Abstract

Bu çalışmada ManyetoReolojik (MR) sönümleyici içeren yarı aktif çeyrek taşıt süspansiyon sisteminin titreşimlerini azaltmaya yönelik olarak Lineer kuadratik regulator (LQR) kontrol ve hibrit kontrol tasarımları gerçekleştirilmiştir. Kontrol tasarımları döngüde donanımsal benzetim (DDB) yapısı kullanılarak karşılaştırmalı olarak test edilmiştir. Çalışma kapsamında kullanılan sönümleyicinin model parametreleri Levenberg-Marquardt optimizasyon yaklaşımı ile elde edilmiş ve farklı yol ve voltaj girişleri altında model doğruluğu test edilmiştir. Kontrol etkinlikleri rastgele yol profili girişi altında ve seçilen performans kriterleri gözetilerek değerlendirilmiştir. Elde edilen sonuçlar incelendiğinde, LQR kontrol %52 daha az kuvvet kullanımı ile taşıt gövdesinin ivme değerinde %26 iyileşme sağladığı görülmüştür.

References

  • Referans1:Batterbee, D.C., Sims, N.D. 2007. Hardware-in-the-loop simulation of magnetorheological dampers for vehicle suspension systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineer ing, 221(2), 265-278.
  • Referans2:Carrion, J. E. 2007. Model-based strategies for real-time hybrid testing. University of Illinois at Urbana-Champaign.
  • Referans3:Dong, X.M., Yu, M., Liao, C.R., Chen, W.M. 2010. Comparative research on semi-active control strategies for magneto-rheological suspension. Nonlinear dynamics, 59(3), 433-453.
  • Referans4:Du, H., Sze, K.Y., Lam, J. 2005. Semi-active H∞ control of vehicle suspension with magneto-rheological dampers. Journal of sound and vibration, 283(3-5), 981-996. Referans5:Dyke, S.J., Spencer Jr, B.F., Sain, M. K., Carlson, J.D. 1996. Modeling and control of magnetorheological dampers for seismic response reduction. Smart materials and structures, 5(5), 565.
  • Referans6:ISO 2631-1, 1997, ‘‘Mechanical Vibration and Shock Evaluation of Human Exposure to Whole-Body Vibration,’’ International Organization for Standardizat io n, Geneva, pp. 1–31.
  • Referans7:Kwok, N.M., Ha, Q. P., Nguyen, T. H., Li, J., Samali, B. 2006. A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization. Sensors and Actuators A: Physical,132(2), 441-451.
  • Referans8:Lee, H.S., Choi, S.B. 2000. Control and response characteristics of a magneto-rheological fluid damper for passenger vehicles. Journal of Intelligent Material Systems and Structures, 11(1), 80-87.
  • Referans9:Lu, Y., Yang, S., Li, S., Chen, L. 2010. Numerical and experime ntal investigation on stochastic dynamic load of a heavy duty vehicle. Applied Mathemat ica l Modelling, 34(10), 2698-2710.
  • Referans10:Morato, M.M., Nguyen, M.Q., Sename, O., Dugard, L. 2019. Design of a fast real-time LPV model predictive control system for semi-active suspension control of a full vehicle. Journal of the Franklin Institute, 356(3), 1196-1224.
  • Referans11:Múčka, P. 2017. Simulated road profiles according to ISO 8608 in vibratio n analysis. Journal of Testing and Evaluation, 46(1), 405-418.
  • Referans12:Nugroho, P.W., Li, W., Du, H., Alici, G., Yang, J. 2014. An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheologica l damper. Advances in Mechanical Engineering, 6, 487312.
  • Referans13:Paksoy, M., Metin, M. 2020. Nonlinear adaptive semiactive control of a half- vehicle model via hardware in the loop simulation. Turkish Journal of Electrica l Engineering and Computer Sciences, 28(3), 1612-1630.
  • Referans14:Terasawa, T., Sakai, C., Ohmori, H., & Sano, A. 2004. Adaptive identification of MR damper for vibration control. In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No. 04CH37601) (Vol. 3, pp. 2297-2303). IEEE.
  • Referans15:Yıldız, A.S., Sivrioğlu, S. 2021. Constrained adaptive backstepping control of a semi‐active suspension considering suspension travel limits. Asian Journal of Control, 23(3), 1380-1393.

Control of The Semi-Active Suspension System by Using Hardware-in-the-loop Simulation Structure

Year 2022, Volume: 1 Issue: 1, 43 - 53, 18.08.2022

Abstract

In this study, Linear quadratic regulator (LQR) control and hybrid control are presented for vibration suppression of the quarter car suspension system equipped with a magnetorheological (MR) damper. The performances of the control designs were tested by using hardware in the loop simulation structure. The model parameters of the MR damper used in the study were obtained with the Levenberg-Marquardt optimization approach and the model accuracy was tested under different road profiles and voltage inputs to the MR damper. The vehicle model was tested under the random profile. According to the experimental results, LQR control decreases the acceleration of the vehicle body by about 26% in terms of the RMS value by using 52% less energy consumption.

References

  • Referans1:Batterbee, D.C., Sims, N.D. 2007. Hardware-in-the-loop simulation of magnetorheological dampers for vehicle suspension systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineer ing, 221(2), 265-278.
  • Referans2:Carrion, J. E. 2007. Model-based strategies for real-time hybrid testing. University of Illinois at Urbana-Champaign.
  • Referans3:Dong, X.M., Yu, M., Liao, C.R., Chen, W.M. 2010. Comparative research on semi-active control strategies for magneto-rheological suspension. Nonlinear dynamics, 59(3), 433-453.
  • Referans4:Du, H., Sze, K.Y., Lam, J. 2005. Semi-active H∞ control of vehicle suspension with magneto-rheological dampers. Journal of sound and vibration, 283(3-5), 981-996. Referans5:Dyke, S.J., Spencer Jr, B.F., Sain, M. K., Carlson, J.D. 1996. Modeling and control of magnetorheological dampers for seismic response reduction. Smart materials and structures, 5(5), 565.
  • Referans6:ISO 2631-1, 1997, ‘‘Mechanical Vibration and Shock Evaluation of Human Exposure to Whole-Body Vibration,’’ International Organization for Standardizat io n, Geneva, pp. 1–31.
  • Referans7:Kwok, N.M., Ha, Q. P., Nguyen, T. H., Li, J., Samali, B. 2006. A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization. Sensors and Actuators A: Physical,132(2), 441-451.
  • Referans8:Lee, H.S., Choi, S.B. 2000. Control and response characteristics of a magneto-rheological fluid damper for passenger vehicles. Journal of Intelligent Material Systems and Structures, 11(1), 80-87.
  • Referans9:Lu, Y., Yang, S., Li, S., Chen, L. 2010. Numerical and experime ntal investigation on stochastic dynamic load of a heavy duty vehicle. Applied Mathemat ica l Modelling, 34(10), 2698-2710.
  • Referans10:Morato, M.M., Nguyen, M.Q., Sename, O., Dugard, L. 2019. Design of a fast real-time LPV model predictive control system for semi-active suspension control of a full vehicle. Journal of the Franklin Institute, 356(3), 1196-1224.
  • Referans11:Múčka, P. 2017. Simulated road profiles according to ISO 8608 in vibratio n analysis. Journal of Testing and Evaluation, 46(1), 405-418.
  • Referans12:Nugroho, P.W., Li, W., Du, H., Alici, G., Yang, J. 2014. An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheologica l damper. Advances in Mechanical Engineering, 6, 487312.
  • Referans13:Paksoy, M., Metin, M. 2020. Nonlinear adaptive semiactive control of a half- vehicle model via hardware in the loop simulation. Turkish Journal of Electrica l Engineering and Computer Sciences, 28(3), 1612-1630.
  • Referans14:Terasawa, T., Sakai, C., Ohmori, H., & Sano, A. 2004. Adaptive identification of MR damper for vibration control. In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No. 04CH37601) (Vol. 3, pp. 2297-2303). IEEE.
  • Referans15:Yıldız, A.S., Sivrioğlu, S. 2021. Constrained adaptive backstepping control of a semi‐active suspension considering suspension travel limits. Asian Journal of Control, 23(3), 1380-1393.
There are 14 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Ali Suat Yıldız This is me 0000-0001-6914-5222

Publication Date August 18, 2022
Published in Issue Year 2022 Volume: 1 Issue: 1

Cite

APA Yıldız, A. S. (2022). Yarı Aktif Taşıt Süspansiyon Sistemin Döngüde Donanımsal Benzetim Yapısı Kullanılarak Kontrolü. Uluslararası Sivas Bilim Ve Teknoloji Üniversitesi Dergisi, 1(1), 43-53.