Generating and modeling of braking curve and the assessment of the quality of automatic stopping of the train

• Autorzy: Anuszczyk J. , Gocek A. , Pacholski K. , Dominikowski B.

Identyfikatory

DOI

10.20858/tp.2018.13.2.2

• Języki publikacji: EN

Abstrakty

EN

This paper presents the theory about generating the braking curve and the analysis of the influence of the braking controller parameters on the generation of the braking curve of the train. In this paper, computed examples of braking quality developed using generic quality factor are shown, and on the basis of the calculations, weight components of the factor and an additional criterion for assessing the quality of braking were proposed. It has been demonstrated that the developed algorithms can be used to verify the effectiveness of the braking controller and the adjustment of the terms, and the change of these algorithms affects the shape of the generated braking curve of the train. It has been shown that the analysis of a failure of the propulsion car revealed the existence of a safe braking area. The performed statistical analysis confirmed the normal distribution of the scatter of braking results, for which the regression model fitted.

Słowa kluczowe

EN

train; braking; docking; quality factor; controller; simulation

PL

pociąg; hamowanie; dokowanie; wskaźnik jakości; kontroler; symulacja

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2018
• Tom: T. 13, z. 2
• Strony: 13--25
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Anuszczyk J.

• Lodz University of Technology, Faculty of Electrical, Electronic, Computer, and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Gocek A.

• Lodz University of Technology, Faculty of Electrical, Electronic, Computer, and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Pacholski K.

• Lodz University of Technology, Faculty of Electrical, Electronic, Computer, and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Dominikowski B.

• Lodz University of Technology, Faculty of Electrical, Electronic, Computer, and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

Bibliografia

• 1. Anuszczyk, J. & Barański, S. & Gocek, A. Evaluation of quality of automatically stopping trains on the subway line. ELECTROMOTION. 2014. Vol. 21. No. 1-2. P. 37-41.
• 2. Anuszczyk, J. & Gocek, A. The influence of operating parameters on braking precision of metro trains. In: XII International Conference MET 2015 Modern Electrified Transport. Croatia, 2015. P. 2-6.
• 3. Barański, S. & Gocek, A. & Steczek, M. Modelowanie hamowania docelowego pociągów metra dla różnych rozwiązań napędów trakcyjnych. Logistyka. 2015. No. 4. P. 2389-2400. [In Polish: The computer modeling of target braking of underground trains taking into account different types of traction drives. Logistics]
• 4. Barański, S. & Gocek, A. & Steczek, M. Ocena jakości w procesie hamowania docelowego pociągów metra za pomocą ogólnego wskaźnika jakości . Logistyka. 2015. No. 4. P. 2401-2409. [In Polish: Quality evaluation of an underground train precision braking using a general quality indicator. Logistics]
• 5. Domínguez, M. & Fernández-Cardador, A. & Cucala, A.P. & Pecharromán, R.R. Energy Savings in Metropolitan Railway Substations Through Regenerative Energy Recovery and Optimal Design of ATO Speed Profiles. IEEE Transactions on Automation Science and Engineering. July, 2012. Vol. 9. No. 3. P. 496-504.
• 6. Gocek, A. & Steczek, M. Simulation studies of target braking accuracy of an underground train driven by an AC motor. Technical Magazine. 2016. Electrical Issue 1-E (2). P. 67-77.
• 7. Harrington, E.C. The desirability function. Industry quality control. 1965. Vol. 21. No. 10. P. 494-498.
• 8. Oshima, H. & Yasunobu, S. & Sekino, S.-i. Automatic Train Operation System Based on Predictive Fuzzy Control. In: International Workshop on Artificial Intelligence for Industrial Applications. Japan. 1988. P. 485-489.
• 9. Gao, B. & Dong, H. & Zhang, Y. Speed Adjustment Braking of Automatic Train Operation System Based on Fuzzy-PID Switching Control. 2009. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery. China, 2009. Vol. 3. P. 577-580.
• 10. Kawashima, H. & Komura, F. & Honma, K. & Iwasaki, A. & Takaoka, T. & Tashiro, K. & Monma, N. A Total Railway System Simulator and its Application to the Evaluation of Energy Saving Train Operation. In: Wessex Institute of Technology Conference, COMPRAIL 92. Washington, 1992. P. 85-95.
• 11. Mincardi, R. & Savio, S. & Sciutto, G. Models and tools for simulation and analysis of metrorail transit systems. In: COMPRAIL 94. Italy, 1994. P. 391-402.
• 12. Nelson, B.L. Statistical Analysis of Simulation Results. Handbook of Industrial Engineering: Technology and Operations Management. Wiley. 2007.
• 13. Peng, W. & Qingyuan, W. Research of the automatic train stop control based on adaptive generalized predictive control. In: Proceedings of the 33rd Chinese Control Conference. Nanjing, China. 2014. P. 3399-3404.
• 14. Sandidzadeh, M.A. & Shamszadeh, B. Improvement of Automatic Train Operation Using Enhanced Predictive Fuzzy Control Method. In: Reliability and Safety in Railway. Croatia. 2012. P. 121-140.
• 15. Han, S.-H. & Byen, Y.-S. & Baek, J.-H. & An, T.-K. & Lee, S.-G. & Park, H.-J. An Optimal Automatic Train Operation (ATO) Control Using Genetic Algorithms (GA). In: TENCON 99. Proc. of the IEEE Region 10 Conference. Korea Railway Research Institute. Korea, 1999. P. 360-362.
• 16. Yasunobu, S. & Miyamoto, S. Automatic Train Operation System by Predictive Fuzzy Control. In: Sugeno, M. (ed.) Industorial Applications of Fuzzy Control. North Holland. 1985. P. 1-18.
• 17. Zhao, N. & Roberts, C. & Hillmansen, S. & Western, P. & Chen, L. & Tian, Z. & Xin, T. & Su, S. Train Trajectory Optimization of ATO Systems for Metro Lines. In: 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). Qingdao, China. 2014.
• 18. Zhu, X. & Liu, X. The Modeling of Test Systems of Automatic Train Operation (ATO) in Urban Rail Transit Based on LABVIEW. In: International Conference on Computer Application and System Modeling (ICCASM 2010). China. 2010.