Document Type : Power Article
Authors
1
Department of Control Engineering and Signalling, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
2
Associate Professor, Control Engineering and Signalling, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
3
Department of Control Engineering., School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract
With the increase in demand for urban travel and also due to environmental issues, rail transportation has been regarded as a green option. Considering the limited infrastructure, including rail lines, fleets, and energy sources, rail networks' safe and optimal operation becomes more critical. In this research, after examining the performance of the automatic train operation technology, an automatic guidance system has been designed and introduced using model predictive control, which, considering the technical characteristics of the train and the railway line, determines and implements a strategy for the movement. The methodology concerns the physical limitations of the train and the line, the travel safety and efficiency, and the energy consumption optimization issue. As an innovation of this research, a new predictive control method is presented, which focuses on the technical specifications of the train and railway line, and determines and implements a strategy for the movement of the train, minding the physical limitations of the train and the line, and observes the relevant restrictions. Then, with the modified relations, the specific steering problem and the state space for the controller are designed. Finally, to check the effect of the proposed system and its efficiency in the presence of disturbances and uncertainties related to the practical environment, a case study of line one of the Tehran subway from Shahid Bokharai station to South Terminal station is conducted, and the results show a 5.4% improvement in fuel consumption. And its functional success.
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