铁道标准设计2017，Vol.61Issue(2)：127-130,4.DOI:10.13238/j.issn.1004-2954.2017.02.027
基于GA优化模糊PID控制的ATO算法研究
Research on ATO Algorithm Based on Fuzzy PID Control with Optimized GA
任林杰 1范多旺 2杨军霞3
作者信息
- 1. 兰州交通大学自动控制研究所，兰州 730070
- 2. 国家绿色镀膜技术与装备工程技术研究中心，兰州 730070
- 3. 重庆交通职业学院，重庆 402247
- 折叠
摘要
Abstract
Aiming at the poor adaptability and lack of intelligence of the traditional PID control method of the urban rail train’s automatic train operation ( ATO) system, the fuzzy PID control algorithm optimized by genetic algorithm is applied to the control of ATO based on the operation experiences of experts and drivers in this field, and the simulation is carried out by using MTALAB. Simulation results show that this algorithm is better than traditional PID control, allowing ATO system to satisfy requirements of adaptability and intelligence in different working conditions, achieve precise stop and punctual arrival, improve ride comfort and reduce effectively energy consumption of train.关键词
ATO/模糊PID/遗传算法/MATLAB仿真Key words
ATO/Fuzzy PID/Genetic algorithm(GA)/MTALAB simulation分类
交通工程引用本文复制引用
任林杰,范多旺,杨军霞..基于GA优化模糊PID控制的ATO算法研究[J].铁道标准设计,2017,61(2):127-130,4.
