| 列车自动驾驶调速系统自适应模糊控制 |
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| 引用本文： | 董海荣,高冰,宁滨.列车自动驾驶调速系统自适应模糊控制[J].动力学与控制学报,2010,8(1):87-91. |
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| 作者姓名： | 董海荣 高冰 宁滨 |
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| 作者单位： | 1. 北京交通大学电子信息工程学院,北京,100044
2. 中国民航大学工程技术训练中心,天津,300300 |
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| 基金项目： | 国家自然科学基金资助项目(60870013)~~ |
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| 摘 要： | 列车自动驾驶（ATO）系统停车前采取一级调速制动，本文采用自适应模糊控制对ATO系统的速度进行控制．利用变论域收缩因子优化模糊控制器的量化因子，模糊推理实现比例因子的自调整．通过仿真表明，该算法能够有效改善速度控制的快速性与精度，提高乘客舒适性与运行效率，从而完成定位停车任务．
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| 关 键 词： | 列车自动驾驶（ATO）系统 调速制动 变论域收缩因子 |
| 收稿时间： | 2009/7/13 0:00:00 |
| 修稿时间： | 2009/8/15 0:00:00 |
Adaptive fuzzy control for speed adjustment of automatic train operation systems |
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| Dong Hairong,Gao Bing and Ning Bin.Adaptive fuzzy control for speed adjustment of automatic train operation systems[J].Journal of Dynamics and Control,2010,8(1):87-91. |
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| Authors: | Dong Hairong Gao Bing and Ning Bin |
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| Affiliation: | 1.School of Electronics and Information Engineering Beijing Jiaotong University;Beijing 100044;China;2.Civil Aviation University of China;Tianjin 300300;China |
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| Abstract: | Speed control algorithm of adaptive fuzzy was proposed based on one-level speed adjustment braking of Automatic Train Operation system.The shrinkage factor of variable universe was used to optimize the quantization factor of fuzzy controller,and the scale factor was adjusted by fuzzy reasoning.It is proved that the adaptive fuzzy control algorithm can improve speed control performance,passenger comfort,operation efficiency and location parking through simulation. |
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| Keywords: | Automatic Train Operation (ATO) speed adjustment braking shrinkage factor of variable universe |
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