Abstract
In this paper, the pure electric brake of the train and the vector control of the asynchronous motor without speed sensor are studied, respectively. The pure electric brake of the train is controlled by a combination of regenerative brake and reverse brake. The estimation method of the feedback speed is based on the Model Reference Adaptive System (MRAS), and both the traditional MRAS and the improved MRAS are analyzed. In this paper, pure electric brake and MRAS estimation are combined to get a better system. Finally, by using the improved MRAS speed estimation method, a simulation of the pure electric brake with speed sensorless control is established with MATLAB simulation software to verify the study.
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References
Zhou M (2011) Research on pure electric brake control strategy of traction linear induction motor. Beijing Jiaotong University, Beijing (in Chinese)
Ashiya M, Sone S, Sato Y, Kaga A (2000) Application of pure electric braking system to electric railcars. In: 6th international workshop on advanced motion control (Cat. No.00TH8494), Nagoya, Japan, pp 163–168
Benlaloui I, Drid S, Chrifi-Alaoui L, Ouriagli M (2015) Implementation of a new mras speed sensorless vector control of induction machine. IEEE Trans Energy Convers 30(2):588–595
Bai X (2017) Research on vector control strategy without speed sensor. Beijing Jiaotong University, Beijing (in Chinese)
Yi Z (2012) Research on pure electric brake of high speed train based on traction drive simulation platform. Beijing Jiaotong University, Beijing (in Chinese)
Sun W (2016) Research on low-speed operation technology of induction motor without speed sensor vector control. Harbin Institute of Technology, Harbin (in Chinese)
Wang Y, Yao Y (2005) Pure electric braking. J Convert Electr Traction 2005(05):21–22 (in Chinese)
Dong W (2015) Research on key technology and system performance optimization of EMU traction inverter control. Beijing Jiaotong University, Beijing (in Chinese)
He L, Wang F, Wang J, Rodriguez J (2019) Zynq implemented Lunenberger disturbance observer based predictive control scheme for PMSM drives. IEEE Trans Power Electron 35(2):1770–1778
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Wu, Q., Yin, S., Duan, D., Xu, C., Diao, L. (2020). Pure Electric Brake of the Train with Speed Sensorless Vector Control. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_47
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DOI: https://doi.org/10.1007/978-981-15-2862-0_47
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