The simulation research for the ATO model based on fuzzy predictive control

Jinling Zhu, Xiaoyun Feng, Qing He, Jian Xiao
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引用次数: 2

Abstract

The train control system is non-linear with large time-delay. It is difficult to get its accurate mathematic model and optimized control solution. Based on the characteristics of train operation control system, a predictive control algorithm is studied in this paper. A satisfactory optimization model and associate algorithm for the maximal operation ability of locomotive are established. The strategies of train maximal capability manipulating control are also proposed. The simulation of train running process based on the proposed model and algorithm is carried on, and the test results show the validity of the model and the algorithm.
基于模糊预测控制的ATO模型仿真研究
列车控制系统是非线性的,具有较大的时滞。很难得到其精确的数学模型和最优控制方案。本文根据列车运行控制系统的特点,研究了一种预测控制算法。建立了令人满意的机车最大运行能力优化模型和关联算法。提出了列车最大能力操纵控制策略。基于所提出的模型和算法对列车运行过程进行了仿真,试验结果表明了模型和算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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