Abstract
Automatic train operation (ATO) control algorithm is develo** 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 Bei**g Laboratory of Urban Rail Transit, Bei**g 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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