Araştırma Makalesi

EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR

Cilt: 5 Sayı: 4 1 Aralık 2017
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EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR

Öz

Monitoring the adhesion force between a railway wheel and a rail surface is very essential in maintaining high acceleration and braking performance of railway vehicles. Due to the difficulties encountered in direct measurement of friction coefficient, creepage and adhesion force; state observers are used as indirect estimation methods. This paper proposes an effective estimation method, which exploits railway traction motor behaviour to give an assistance for realizing wheel slip and adhesion control in order to be used in railway applications. This method plays an active role in optimizing the use of the existing adhesion and reducing wheel wear by decreasing high creep values. With this method, adhesion force can be indirectly estimated by measuring stator currents, and angular speed of the AC traction motor and using dynamic relationships based on the extended Kalman filter (EKF) simulation model. The re-adhesion controller can be designed to regulate the motor torque command according to the maximum available adhesion depending on the estimated results. To test the proposed method, simulations were performed under different friction coefficients.

Anahtar Kelimeler

Kaynakça

  1. Alonge, F., D'ippolito, F., 2010, “Extended Kalman Filter for Sensorless Control of Induction Motors”, First Symposium on Sensorless Control for Electrical Drives, Padova, Italy, 9-10 July 2010.
  2. Alsofyani, I. M., Idris, N., Sutikno, T., Alamri, Y. A., 2012, “An optimized Extended Kalman Filter for Speed Sensorless Direct Troque Control of An İnduction Motor”, IEEE International Conference on Power and Energy, Kota Kinabalu, Malaysia, 2-5 December 2012.
  3. Barut, M., Bogosyan, O., Gokasan, M., 2002, “EKF Based Estimation for Direct Vector Control of Induction Motors”, IEEE 28th Annual Conference of the Industrial Electronics Society, Sevilla, Spain, 5-8 November 2002.
  4. Barut, M., Bogosyan, S., Gokasan, M., “EKF Based Sensorless Direct Torque Control of IMs in The Low Speed Range”, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005, ISIE 2005, Dubrovnik, Croatia, 20-23 June 2005.
  5. Barut, M., Bogosyan, S., Gokasan, M., 2007, “Speed-Sensorless Estimation for Induction Motors Using Extended Kalman Filters”, IEEE Transactions on Industrial Electronics, Vol. 54(1), pp. 272-280.
  6. Barut, M., Gokasan, M., Bogosyan, O., 2003, “An extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors”, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468), Roanoke, VA, USA, 2-6 November 2003.
  7. Bogosyan, S., Barut, M., Gokasan, M., 2007, “Braided Extended Kalman Filters for Sensorless Estimation In İnduction Motors at High-Low/Zero Speed”, IET Control Theory & Application, Vol. 1(4), pp. 987-998.
  8. Cai, L., Zhang, Y., Zhang, Z., Liu, C., Lu, Z., 2003, “Application of Genetic Algorithms in EKF for Speed Estimation of an Inducion Motor”, Proc. on IEEE Power Electronics Specialist Conference, Acapulco, Mexico, Vol. 1, pp. 345-349, 15-19 June 2003.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Caglar Uyulan Bu kişi benim

Yayımlanma Tarihi

1 Aralık 2017

Gönderilme Tarihi

6 Şubat 2017

Kabul Tarihi

14 Nisan 2017

Yayımlandığı Sayı

Yıl 2017 Cilt: 5 Sayı: 4

Kaynak Göster

APA
Uyulan, C., & Gokasan, M. (2017). EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, 5(4), 432-444. https://doi.org/10.15317/Scitech.2017.103
AMA
1.Uyulan C, Gokasan M. EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR. sujest. 2017;5(4):432-444. doi:10.15317/Scitech.2017.103
Chicago
Uyulan, Caglar, ve Metin Gokasan. 2017. “EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5 (4): 432-44. https://doi.org/10.15317/Scitech.2017.103.
EndNote
Uyulan C, Gokasan M (01 Aralık 2017) EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5 4 432–444.
IEEE
[1]C. Uyulan ve M. Gokasan, “EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR”, sujest, c. 5, sy 4, ss. 432–444, Ara. 2017, doi: 10.15317/Scitech.2017.103.
ISNAD
Uyulan, Caglar - Gokasan, Metin. “EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 5/4 (01 Aralık 2017): 432-444. https://doi.org/10.15317/Scitech.2017.103.
JAMA
1.Uyulan C, Gokasan M. EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR. sujest. 2017;5:432–444.
MLA
Uyulan, Caglar, ve Metin Gokasan. “EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, c. 5, sy 4, Aralık 2017, ss. 432-44, doi:10.15317/Scitech.2017.103.
Vancouver
1.Caglar Uyulan, Metin Gokasan. EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR. sujest. 01 Aralık 2017;5(4):432-44. doi:10.15317/Scitech.2017.103

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