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Research on Energy-Saving Optimal Control for Trains in a Following Operation under a Moving Autoblock System Based on GA

Excerpt

In order to study the energy-saving optimal control strategy for the two trains in a following operation under a moving autoblock system, an energy-saving control model is created. The main aims of the model are energy consumption and time error besides the safety. Based on this model, the static and dynamic speed restraints are put forward. Combined with the genetic algorithm (GA) and external punishment function, this problem is solved effectively. Real number coding and the strategy of ramps divided into three parts are adopted to shorten the length of chromosomes and improve the speed of the convergence. The simulation result shows that this method can reduce the total energy consumption of the two trains effectively based on the safety and punctuality.

  • Abstract
  • Key Words
  • 1 Introduction
  • 2 Moving Autoblock System
  • 3 Create the Model
  • 4 Genetic Algorithm
  • 5 Simulation
  • 6 Conclusion
  • References

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