东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (4): 487-491.DOI: 10.12068/j.issn.1005-3026.2018.04.007

• 信息与控制 • 上一篇    下一篇

自校正模糊PID控制的FAST节点位移控制方法

沙毅1, 范倩雯1, 张立立1, 朱丽春2   

  1. (1. 东北大学 计算机科学与工程学院, 辽宁 沈阳110169; 2. 中国科学院 国家天文台, 北京100012)
  • 收稿日期:2016-11-22 修回日期:2016-11-22 出版日期:2018-04-15 发布日期:2018-04-10
  • 通讯作者: 沙毅
  • 作者简介:沙毅(1959-),男,江苏无锡人,东北大学副教授; 朱丽春(1964-),女,北京人,国家天文台研究员.
  • 基金资助:
    国家自然科学基金资助项目(51171041).国家自然科学基金资助项目(11273001).

FAST Node Displacement Control Method Using Self-Tunning Fuzzy PID Control

SHA Yi1, FAN Qian-wen1, ZHANG Li-li1, ZHU Li-chun2   

  1. 1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China; 2. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China.
  • Received:2016-11-22 Revised:2016-11-22 Online:2018-04-15 Published:2018-04-10
  • Contact: SHA Yi
  • About author:-
  • Supported by:
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摘要: 为了解决FAST项目中2400多个节点在相邻节点拉力、外界风力、温度等环境因素的影响下仍能够达到预期运动位置,利用自校正模糊PID控制与改进型论域伸缩方案相结合的方式对FAST节点位移控制策略进行了研究.通过对FAST节点液压促动伺服系统的分析,得出被控对象的传递函数.根据误差和误差变化率的分析,进行控制器的设计,选择合理且有效的变论域伸缩因子,最后利用Simulink对改进算法进行了建模和仿真.仿真分析结果验证了基于变论域的自校正模糊PID控制对FAST节点位移控制的可行性.

关键词: FAST节点位移, 自校正PID控制, 模糊控制, 变论域

Abstract: To solve the problem of achieving the expected moving position of more than 2400 nodes under the influence of the tension of adjacent points, wind, temperature and other factors, FAST node displacement control method was studied by using the self-tuning fuzzy PID combined with the improved scheme of variable domain scaling. By analyzing FAST node hydraulic actuator servo system, a transfer function of the controlled object was obtained. The controller was designed by analyzing the error and its corresponding rate of change, and feasible and effective variable domain scaling factor was chosen. The improved algorithm was modeled and simulated by Simulink. The results showed the feasibility of self-tuning PID control based on the variable domain for the FAST node displacement control.

Key words: FAST node displacement, self-tuning PID control, fuzzy control, variable domain

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