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基于LQR的二级倒立摆的模糊控制 被引量:3

LQR Based Fuzzy Control of the Double Inverted Pendulum
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摘要 本文基于模糊控制理论研究了二级倒立摆的控制问题。二级倒立摆为多变量系统,为了解决模糊控制器规则组合爆炸问题,采用LQR控制方法设计了融合函数以降低模糊控制器的输入变量维数,大大减少模糊控制的规则数,并研究了量化因子对控制效果的影响,通过设置阈值使量化因子可自动调节,进而提高模糊控制器的性能品质。仿真结果证明这种模糊控制算法规则数少,响应速度快,有良好的稳定性和鲁棒性。 The fuzzy control theory is introduced to study the controlling problem of the double inverted pendulum in this paper. In order to solve the fuzzy rule number'sexplosion in multi-variable system,the dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the LQR theory,and it can reduce the rules of fuzzy greatly. The infection of quantification factors to the effect of control is studied. The quality of the fuzzy controller is improved by adding auto turning quantification factors. Simulation prove that this fuzzy control arithmetic has the advantages of few rules,fast speed,good stability and good robustness.
出处 《数字技术与应用》 2010年第9期146-148,共3页 Digital Technology & Application
关键词 二级倒立摆 LQR 模糊控制 融合函数 量化因子 Double inverted pendulum LQR Fuzzy control fusion function quantification factors
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参考文献5

  • 1世界首例倒立摆实物控制系统在我校试验成功[J].北京师范大学学报:自然科学版,2002,10.
  • 2固高公司.GLIP2003倒立摆用户使用手册.2003.
  • 3KatsuhikoOgata著 卢伯英 于海勋译.现代控制工程[M].北京:电子工业出版社,2003..
  • 4曲建岭,吴文海,孙俊恩.三级倒立摆系统模糊控制器设计及仿真[J].系统仿真学报,2004,16(3):578-581. 被引量:18
  • 5李士勇.模糊控制,神经网络和智能控制论[M].哈尔滨:哈尔滨工业大学出版社.1998.

二级参考文献6

共引文献19

同被引文献23

  • 1王晓侃,冯冬青.基于MATLAB的LQR控制器设计方法研究[J].微计算机信息,2008,24(10):37-39. 被引量:10
  • 2李劲松,颜国正,冯剑舟,宋立博.基于线性二次型最优控制策略的倒立摆实验系统搭建[J].实验室研究与探索,2010,29(3):38-40. 被引量:8
  • 3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
  • 4Hermida E B, Cieri L J. Extended capabilities of an inverted torsion pendulum[ J ]. Polymer Testing, 2006, 25 (2) : 276-2"79.
  • 5Ruan X, Ding M, Gong D, et al. On-line adaptive control for inverted pendulum balancing based on feedback-error-learning [ J ]. Neurocompating, 2007, 70 ( 4-6 ) : 770-776.
  • 6Buczek F L, Cooney K M, Walker M R, et al. Performance of an inverted pendulum model directly applied to normal human gait[ J ]. Clinical Biomechanics, 2006, 21(3): 288-296.
  • 7Kodys A D, Murray R, Cassady L, et al. An inverted pendulum thrust stand for high-power electric thrusters [ C ]//Proceedings of AIAA/ASME/SAE/ASEE 42rid Joint Propulsion Conference and Exhibit. Sacramento, USA: AIAA, 2006:5008-5021.
  • 8Chandrasekara C, Davari A. Inverted pendulum: an experiment for control laboratory [ C ]//Proceedings of the 36th SoutheasternSymposium on System Theory. Atlanta, USA: IEEE, 2004: 570- 573.
  • 9Craig J J. Introduction to robotics: mechanics and control[ M]. 3th ed. New Jersey: Prentice Hall, 2004.
  • 10Ogata K. Modern control engineering [ M ]. 4th ed. New Jersey: Prentice Hall, 2002.

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