Abstract
The state of heavy-haul train in operation is variable because of some constraints, such as train weight, marshaling length, neutral section and so on; therefore, it is difficult for drivers to ensure the safety of train. To solve this problem, a design method of fuzzy controller is proposed to control the operation of heavy-haul train on gentle section. This method focuses on the structural characteristics of heavy-haul train and studies the influence of neutral section and line condition on train speed. Then, based on control theories and on-site driver’s experience, a fuzzy PID controller is designed to better adapt to the changes of system parameters during train operation. Finally, the performance of controller is verified by simulation based on the actual line data and train marshaling information. The results prove that the controller is feasible and can control the heavy-haul train to run more securely and placidly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Huang Y, Tan L, Chen L, Tang T (2016) A neural network driving curve generation method for the heavy-haul train. Adv Mech Eng 8(5):1–14
Yang J, Jia LM, Lu SF, Li ZY (2016) Energy-efficient operation of electric freight trains-part I: speed profile optimization. J China Railway Soc 38(4):22–31 (in Chinese)
Wei W, Hu Y, Wu Q, Zhao X et al (2017) An air brake model for longitudinal train dynamics studies. Veh Syst Dyn 55(4):517–533
Afshari A, Specchia S, Shabana AA, Caldwell N (2013) A train air brake force model: car control unit and numerical results. Proc Inst Mech Eng Part F: J Rail Rapid Transit 227(1):38–55
Wu Q, Cole C, Luo S, Spiryagin M (2014) A review of dynamics modelling of friction draft gear. Veh Syst Dyn 52(6):733–758
Chang C, Guo G, Wang J, Ma Y (2017) Study on longitudinal force simulation of heavy-haul train. Veh Syst Dyn 55(4):571–582
Sun SL, Ding JJ, Zhou ZY, Li F et al (2017) Analysis and test of heavy haul train longitudinal impulse dynamics. J Mech Eng 53(8):138–146 (in Chinese)
Dong HR, Gao B, Ning B, Zhang YX (2010) Fuzzy-PID soft switching speed control of automatic train operation system. Control Decis 25(5):794–796, 800 (in Chinese)
Ganesan M, Ezhilarasi D, Benni J (2017) Second-order sliding mode controller with model reference adaptation for automatic train operation. Veh Syst Dyn 55(1):1–23
Li ZQ, Yang H, Liu MJ, Liu JM (2016) Modeling and tracking control for braking process of high speed electric multiple unit. China Railway Sci 37(5):80–86 (in Chinese)
Acknowledgements
This work was supported by the China Railway Corporation Science and Technology Research and Development Project under Grant P2018X011, the scientific research projects of Shuohuang Railway Development Co. in 2019 and the Beijing Municipal Science and Technology Plan projects under Grant Z181100003918006.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dong, J., Huang, Y., Yu, H. (2020). Design Method of Fuzzy Controller for Speed Control of Heavy-haul Train. 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_81
Download citation
DOI: https://doi.org/10.1007/978-981-15-2862-0_81
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2861-3
Online ISBN: 978-981-15-2862-0
eBook Packages: EngineeringEngineering (R0)