基于模糊广义预测控制算法的ATO系统仿真研究

Simulation of ATO System Based on Fuzzy Generalized Predictive Control Algorithm

针对ATO(列车自动运行)系统的特点,设计了基于模糊广义预测控制算法的速度控制器,并结合实际线路建立了线路模型,生成了优化的目标曲线。利用Matlab分别对基于模糊广义预测控制算法和基于隐式广义预测控制算法的速度控制器进行了仿真。仿真结果表明,基于模糊广义预测控制算法的速度控制器不仅能使ATO系统的性能得到优化,而且在一定程度上削弱了坡道对列车运行速度造成的影响,具备良好的可移植性。

According to the characteristics of automatic train operation（ATO） system,a speed controller of ATO system based on fuzzy generalized predictive control algorithms （FGPCA） is designed, a line model combined with the actual lines is estab- lished and an opt＇unized target curveis generated. Then the speed controller based on P（3PCA and implicit generalized predictive control algorithms with MATLAB is simulated. The result proves that the speed controller based on FGPCA could not only opti- mize the properties of ATO system, but could also weaken the impact of ramps on the train speed to some extent. Therefore, this newly designed speed controller has a good transportability.