Abstract
Automatic train operation (ATO) control algorithm is developing very fast, providing a stage for the application of advanced control algorithm. Generalized predictive control (GPC) is widely concerned in recent years, which uses multi-step prediction, rolling optimization, and feedback correction control strategy to get a good control result. In this paper, the improved GPC algorithm is applied, the optimized target of which is added an overshoot-reduced item to optimize multiple objectives. By using input saturation constraint strategy, passenger comfort is ensured. The simulation results show the effectiveness of this method.
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Acknowledgments
This work is supported by Beijing Laboratory of Urban Rail Transit, Beijing Higher Institution Engineering Research Center of Urban Rail Transit CBTC System, and Train Integrated Optimization Control Technology (863 Program, No. 2011AA110502).
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Zhao, W., Gao, C. (2014). A New Control Method of Automatic Train Operation in Urban Rail Transit Based on Improved Generalized Predictive Control Theory. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I. Lecture Notes in Electrical Engineering, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53778-3_56
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DOI: https://doi.org/10.1007/978-3-642-53778-3_56
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