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

Author

Hua, Rang ; Fu, You ; He, Guoping

Author_Institution

Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China

fYear

2011

fDate

27-29 May 2011

Firstpage

347

Lastpage

350

Abstract

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.

Keywords

angular velocity control; finite state machines; genetic algorithms; railway engineering; robust control; adaptability; anti-interference; automatic speed control; finite state machine; genetic algorithm; operation control strategy; robustness; speed regulation; state sequencing; state transition problems; train; Acceleration; Analytical models; Genetic algorithms; Robustness; Switches; automatic speed control; genetic control algorithm; model; simulation; state flow;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6014581

Filename

6014581