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Dergiler / Turkish Journal of Electrical Engineering and Computer Science / 2011 / Cilt: 19 - Sayı: 5

Vibrations control of light rail transportation vehicle via PID type fuzzy controller using parameters adaptive method

Muzaffer METİN
Rahmi GÜÇLÜ
Sayfa
807–816
Yayın Tarihi
2011-05-01
DOI
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Also, obtaining higher performance from this controller is studied.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, a conventional PID type fuzzy controller and parameter adaptive fuzzy controller are designed to control vibrations actively of a light rail transport vehicle which modeled as 6 degree-of-freedom system and compared performances of these two controllers.
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Temel Bulgular & Veri:To control vibrations actively, a PID type fuzzy controller which is obtained by combining fuzzy PI and fuzzy PD controllers is preferred because of its robust character and superior performance.
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Sonuç & Katkı:Also, obtaining higher performance from this controller is studied.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Railway system · vibration control · PID type fuzzy controller

Özet

In this study, a conventional PID type fuzzy controller and parameter adaptive fuzzy controller are designed to control vibrations actively of a light rail transport vehicle which modeled as 6 degree-of-freedom system and compared performances of these two controllers. Rail vehicle model consists of a passenger seat and its suspension system, vehicle body, bogie, primary and secondary suspensions and wheels. The similarity between mathematical model and real system is shown by comparing uncontrolled simulation results and vibration measurements. For carrying a comfortable travel, rail vehicle body and passenger seat vibrations are minimized by adding a controller between rail vehicle body and bogie in the model of this system. To control vibrations actively, a PID type fuzzy controller which is obtained by combining fuzzy PI and fuzzy PD controllers is preferred because of its robust character and superior performance. The PID type fuzzy controller using parameter adaptive method is designed by tuning the parameters online. Also, obtaining higher performance from this controller is studied.

Abstract

In this study, a conventional PID type fuzzy controller and parameter adaptive fuzzy controller are designed to control vibrations actively of a light rail transport vehicle which modeled as 6 degree-of-freedom system and compared performances of these two controllers. Rail vehicle model consists of a passenger seat and its suspension system, vehicle body, bogie, primary and secondary suspensions and wheels. The similarity between mathematical model and real system is shown by comparing uncontrolled simulation results and vibration measurements. For carrying a comfortable travel, rail vehicle body and passenger seat vibrations are minimized by adding a controller between rail vehicle body and bogie in the model of this system. To control vibrations actively, a PID type fuzzy controller which is obtained by combining fuzzy PI and fuzzy PD controllers is preferred because of its robust character and superior performance. The PID type fuzzy controller using parameter adaptive method is designed by tuning the parameters online. Also, obtaining higher performance from this controller is studied.

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Bu Makaleye Atıf Yap

METİN, M., GÜÇLÜ, R. (2011). Vibrations control of light rail transportation vehicle via PID type fuzzy controller using parameters adaptive method. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 19 - Sayı: 5, 807–816. https://ajindex.com/articles/188690

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Kaynakça (9)

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  2. N. Yagiz, A. Gursel, “Active Suspension Control of a Railway Vehicle with a Flexible Body”, Int. J. Vehicle Autonomous Systems, 3(1), 80-94 (2005).
  3. Metin, M., Guclu, R., Yazici, H. ve Yalcin, N. S., (2007), “Fuzzy Logic Control of High Speed Rail Vehicle Vibrations on Corrugated Rail”, The 36th International Congress & Exhibition on Noise Control Engineering, Inter-noise 2007, Aug. 28-31 2007,
  4. Istanbul, Turkey, 37. Metin, M., Guclu R., Yazici, H. ve Yalcin, N.S., (2007), “Rayli Tasit Titresimlerinin Bulanik PID Kontrolor ile Kontrolu”, TOK’O7 Otomatik Kontrol Ulusal Toplantisi, 4-7
  5. Eylul, Sabanci Universitesi, Istanbul, 312-317.
  6. Metin, M., Guclu R., Yazici, H. ve Yalcin, N.S., (2008), “A Comparison of Control Algorithms for a Half Rail Vehicle Model under Track Irregularity Effect”, Mechanics Conference and 100th Anniversary of Engineering of Science and Mechanics Department, Jun. 29—30 2008, Virginia Polytechnic and State University, Blacksburg—VA, USA. Metin, M., Guclu R., “Olcekleme Carpanlari Kendiliginden Ayarlanabilen PID Tipli Bulank Kontrolor ile Bir Hafif Metro Aracina Ait Dusey Titresimlerin Aktif Kontrolu, TOK08 Otomatik Kontrol Ulusal Toplantisi, ITU, S.551—556, Istanbul, 13—15 Kasim, 2008. C. Esveld, “Modern Railway Track, MRT Productions, Netherlands (2001).
  7. Z.-W. Woo, H.-Y. Chung and J.-J. Lin, “A PID Type Fuzzy Controller with Self—Tuning Scaling Factors, Fuzzy Sets and Systems, 115, 321—326 (2000).
  8. Karasakal, O., Yesil, E., Guzelkaya, M. and Eksin, I., “Implementation of a New Self—Tuning Fuzzy PID Controller on PLC., Turk J. Elec Engin, Vol. 13, No. 2, pp. 277-286 (2005).
  9. Qiao, W. Z., Mizumoto, M., “PID Type Fuzzy Controller and Parameters Adaptive Method, Fuzzy Sets and Systems, 78, 23-35 (1995). A. Appendix Six degrees of freedom LRT vehicle model parameters Controller Parameters Mass Values StiŞness Values Damping Values Others CFC PAFC ke:40.02 ke:40.02 Mp280 kg kp=6000 N/m 01,2200 Ns/m LA=1.28 m kd=12.20968 kd=12.20968 MC:5333 kg k2=430000 N/m 02220000 Ns/m V260 km/h Ş=8.90322