期刊文献+

基于混沌最优控制的二级倒立摆的实验研究 被引量:1

Experiment of double inverted pendulum based on chaos optimal control
下载PDF
导出
摘要 为解决LQ控制多变量系统时,权矩阵参数难以确定的问题,在引入一种与系统动态性能密切相关的性能指标基础上,提出混沌全局粗搜索和局部细搜索相结合优化LQ控制二级倒立摆。该方法既是线性二次型泛函意义下的最优,又能解决具有快速、强非线性、绝对不稳定系统的控制问题。二级倒立摆实验结果证实了该方法的有效性。 A method of controlling double inverted pendulum is presented. Chaos optimization linear quadratic controller based on the dynamic performance index is proposed,in order to solve the choice of weighting matrix problem in LQ control multi-variable. The controller designed by the approach can satisfy the performance index of linear quadratic. It is also helpful to control the systems which have the characteristics of quick speed,serious nonlinear and absolutely unstable. The real-time control curves of the double inverted pendulum show the effectiveness and practieability of this method.
出处 《机械设计与制造》 北大核心 2010年第9期210-212,共3页 Machinery Design & Manufacture
基金 国家自然基金面上项目(50775101) 近代声学教育部重点实验室开放课题(200902) 江苏省高校自然科学基金(08kjd560009) 淮安科技发展项目(HAG07022)
关键词 混沌 LQ控制 二级倒立摆 性能指标 实验 Chaos LQ control .Double inverted pendulum Performance index Experiment
  • 相关文献

参考文献9

二级参考文献40

  • 1张葛祥,金炜东,胡来招.多变量系统控制器的参数满意优化设计[J].控制理论与应用,2004,21(3):362-366. 被引量:15
  • 2王仲民,孙建军,岳宏.基于LQR的倒立摆最优控制系统研究[J].工业仪表与自动化装置,2005(3):6-8. 被引量:55
  • 3邹恩,李祥飞,张泰山.模糊神经网络的混沌优化算法设计(英文)[J].控制理论与应用,2005,22(4):578-582. 被引量:5
  • 4ASTROM K J WITTENMARK B.Computer-controlled systems--theory and design:(third edition)[M].北京:清华大学出版社,2002.427-428. 被引量:1
  • 5Hopfield J J. Neural Networks and Physical Systems with Emergent Collective Computational Abilities[J]. Proc of the National Academy of Sciences of the United States of America, 1982,79(8): 2554-2558. 被引量:1
  • 6Hopfield J J. Neurons with Graded Response Have Collective Computational Properties Like Those of Two-state Neurons[A]. Proc of the National Academy of Sciences of the United States of America, 1984, 81(10): 3088-3092. 被引量:1
  • 7Chandler P, Mears M, Pachter M. On-line Optimizing Networks for Reconfigurable Control[A]. Proc of the 32nd Conf on Decision and Control[C]. San Antonio,1993: 2272-2277. 被引量:1
  • 8Steck J E, Balkrishnan S N. Use of Hopfield Neural Networks in Optimal Guidance[J]. IEEE Trans on Aerospace and Electronic Systems, 1994,30(1): 287-293. 被引量:1
  • 9Karam M, Mohamed A Zohdy, Shehu S. Farinwata. Robust Optimal Control Using Recurrent Dynamic Neural Network[A]. Proc of the 2001 IEEE Int Sympofium on Intelligent Control[C]. Mexico,2001: 331-336. 被引量:1
  • 10Lan M S, Chand S. Solving Linear Quadratic Discrete-time Optimal Controls Using Neural Network[A]. Proc of the 29th Conf on Decision and Control[C].Honolulu, 1990: 2770-2772. 被引量:1

共引文献86

同被引文献4

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部