An Enhanced Feedforward Compensation Speed Closed Loop Control Strategy for the Vacuum Pipelines High-Speed Maglev Train

Author:

Yang Zhihong,Guo Yongyong,Wei Kekang

Publisher

Springer Nature Singapore

Reference10 articles.

1. Han, S.H., Byen, Y.S., Baek, J.H., et al.: An optimal automatic train operation (ATO) control using genetic algorithms (GA) [C]. In: Proceedings of the IEEE Region 10 Conference. IEEE, vol. 1, pp. 360–362 (1999)

2. Duarte, M.A., Sotomayor, P.X.: Minimum energy trajectories for subway systems [J]. Optim. Control. Appl. Methods 20(6), 283–296 (1999)

3. Wang, H., Yin, L., et al.: Research on Speed Control and auto drive system of Maglev Train. Master of Engineering Thesis (2002) (in Chinese)

4. Liu, Z., Wei, W., et al.: Research on safety speed curve algorithm and emergency braking control of high speed maglev trains. Master's Thesis (2004) (in Chinese)

5. Xu, C., Chen, X., Zheng, X., et al.: Adaptive dynamic surface velocity displacement tracking control for high-speed trains [J]. J. Electr. Mach. Control. 23(12), 8 (2019) (in Chinese)

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