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A realization and simulation of ATO speed control module—Predictive fuzzy control algorithm

机译:ATO调速模块的实现与仿真-预测性模糊控制算法

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Considering the multi-functional needs of the Automatic Train Operation System (ATO), this paper uses a method combined the prediction algorithm and the multi-variable fuzzy control algorithm to design the ATO automatic speed control module. It divides the operation process into three conditions, includes starting, cruising and parking, and assigns different weights to the three condition depend on the performance of comfort, energy saving and stopping accuracy, and uses fuzzy control algorithm on the two variables of displacement and velocity, at last gets the comprehensive control value. Then the control system sends the control values which would be used in the next cycle to calculate the actual curve module, so that the system can achieve automatic operation. In this paper, the writer simulated the system, and verified the speed control function of the ATO speed control module, through the analysis of test results that the system has reached the desired control effect.
机译:考虑到自动火车操作系统的多功能需求,本文采用了一种结合预测算法和多变量模糊控制算法的方法来设计自动火车速度控制模块。它将操作过程分为启动,巡航和停车三个条件,并根据舒适性,节能和停止精度对这三个条件分配不同的权重,并对位移和速度两个变量使用模糊控制算法,最后得到综合控制值。然后,控制系统发送将在下一个循环中使用的控制值,以计算实际曲线模块,从而使系统可以实现自动操作。本文通过对系统的仿真,通过对测试结果的分析,证明了ATO调速模块的调速功能,达到了预期的控制效果。

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