EXTENDED KALMAN FILTER DESIGN FOR RAILWAY TRACTION MOTOR

Bir demiryolu tekerleği ile rayı arasında meydana gelen tutunma kuvvetinin izlenmesi, demiryolu araçlarının yüksek hızlanma ve frenleme performansının korunmasında oldukça önemlidir. Sürtünme katsayısı, kayma ve tutunma kuvvetinin doğrudan ölçülmesinde karşılaşılan zorluklardan dolayı, durum gözetleyicilerine dayalı dolaylı tahmin yöntemleri kullanılır. Bu makale, demiryolu uygulamalarında kullanılmak üzere tekerlek kayma ve yeniden tutunma kontrolünü gerçekleştirmek için demiryolu cer motor davranışını kullanan etkili bir tahmin yöntemi önermektedir. Bu yöntem, mevcut tutunmanın kullanımını iyileştirmede ve yüksek kayma değerlerini düşürerek tekerlek aşınmasının azaltılmasında etkin bir rol oynamaktadır. Bu yöntemle, stator akımları ve asenkron cer motorun açısal hızı ölçülerek, genişletilmiş Kalman filtresi (GKF) simülasyon modeline dayanan dinamik ilişkiler kullanılarak tutunma kuvveti dolaylı olarak tahmin edilebilir. Yeniden tutunma kontrolörü, tahmin sonuçlarına bağlı olan maksimum erişilebilir tutunma özelliklerine göre motor moment komutu düzenlenerek tasarlanabilir. Önerilen yöntemi test etmek için, farklı tekerlek-ray sürtünme katsayıları altında simülasyonlar gerçekleştirilmiştir

Demiryolu Cer Motorları için Genişletilmiş Kalman Filtresi Tasarımı

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

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