Modeling and Simulation of Train Automatic Speed Control System Based on Genetic Algorithm
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.
automatic speed control genetic control algorithm state flow model simulation
Rong hua You Fu Guoping He
College of Information Science and Engineering Shandong University of Science and Technology Qingdao, China
国际会议
西安
英文
347-350
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）