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Modeling and simulation of train automatic speed control system based on genetic algorithm

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3 Author(s)
Rong Hua ; College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China ; You Fu ; Guoping He

To solve the state transition problems and improve the adaptability, robustness and anti-interference ability, the model of train automatic speed control system is built and a kind of operation control strategy based on genetic algorithm is put forward. Using the theory of Finite State Machine, the state sequencing is analyzed and the speed regulation is studied. Based on the effects of the control algorithm, a series of simulations are implemented and the result shows that the strategy is feasible.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011