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自校正模糊PID控制的FAST节点位移控制方法 被引量:6

FAST Node Displacement Control Method Using Self-Tunning Fuzzy PID Control
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摘要 为了解决FAST项目中2 400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. To solve the problem of achieving the expected moving position of more than 2 400 nodes under the influence of the tension of adjacent points,w ind,temperature and other factors,FAST node displacement control method was studied by using the self-tuning fuzzy PID combined w ith 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 Sim ulink.The results showed the feasibility of self-tuning PID control based on the variable domain for the FAST node displacement control.
作者 沙毅 范倩雯 张立立 朱丽春 SHA Yi;FAN Qian-wen;ZHANG Li-li;ZHU Li-chun(School of Computer Science&E ngineering,Northeastern University,Shenyang 110169,China;National Astronom ical Observatories,Chinese Academy of Sciences,Beijing 100012,China)
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2018年第4期487-491,共5页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(11273001)
关键词 FAST节点位移 自校正PID控制 模糊控制 变论域 FAST node displacement self-tuning PID control fuzzy control variable domain
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  • 1Wang L X. Adaptive fuzzy systems and control: design and stability analysis[M] Prentice-Hall,1994.
  • 2Li H X. Adaptive fuzzy control based on variable universe[J]. Science in China(Series E), 1999,42 (1):32-23.
  • 3Li H X,Miao Z H,Lee E S. Variable universe stable adaptive fuzzy control of a nonlinear system[J]. Computers and Mathematics with Applications, 2002,44 :799-815.
  • 4Lee C. Fuzzy logic in control systems Fuzzy logic controller, part I[J]. IEEE Trans. Syst. , Man, Cybern. , 1990, 20:404-418.
  • 5Wang J, Si W J, Li H Y. Robust ISS-satisficing variable universe indirect fuzzy control for chaotic systems [J]. Choas, Solitions and Fratals, 2009,39 :28-38.
  • 6Wang J,Qiao G D, Deng B. Oberver-based robust adaptive variable universe fuzzy control for chaotic systems[J]. Choas, Solitions and Fratals, 2005,23 : 1013-1032.
  • 7Buckley J J. Sugeno type controllers are universal approximators[J]. Fuzzy Sets Syst. , 1993,53,299-304.
  • 8吴忠军,刘国海,廖志凌.硅太阳电池工程用数学模型参数的优化设计[J].电源技术,2007,31(11):897-901. 被引量:63
  • 9谢磊.模糊控制在光伏充电系统中的应用研究[D].合肥:合肥工业大学,2006.
  • 10李洪兴.Fuzzy控制的本质与一类高精度Fuzzy控制器的设计[J].控制理论与应用,1997,14(6):868-872. 被引量:146

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