引用本文:王江,乔国栋,邓斌.变论域自适应模糊控制及其在Chua's混沌电路中的应用[J].控制理论与应用,2006,23(3):433~438.[点击复制]
WANG Jiang,QIAO Guo-dong,DENG Bin.Variable universe adaptive fuzzy control and its application for Chua's chaotic circuit[J].Control Theory and Technology,2006,23(3):433~438.[点击复制]
变论域自适应模糊控制及其在Chua's混沌电路中的应用
Variable universe adaptive fuzzy control and its application for Chua's chaotic circuit
摘要点击 1490  全文点击 1041  投稿时间：2004-04-19  修订日期：2005-06-06
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DOI编号  10.7641/j.issn.1000-8152.2006.3.020
  2006,23(3):433-438
中文关键词  变论域  输出反馈  监督控制  混沌系统
英文关键词  variable universe  output-feedback  supervisory control  chaotic system
基金项目  国家自然科学基金资助项目(50537030)
作者单位
王江,乔国栋,邓斌 天津大学电气与自动化工程学院,天津300072 
中文摘要
      本文研究输出反馈自适应变论域模糊控制方法.变论域模糊控制通过自适应调节伸缩因子,生成大量规则,提高了系统的控制精度.由于状态的不完全可测,本文首先通过构造状态观测器实现输出反馈控制.然后,为了抑制外部扰动和参数变化,通过监督控制将系统的状态约束在给定的范围之内,从而提高了控制器的精度和鲁棒性.进而利用Lyapunov函数证明了观测器-控制器系统的稳定性;在所有状态一致有界的前提下,整个自适应控制算法保证闭环系统的稳定性.最后将所提算法应用于Chua's混沌电路,仿真结果证明了控制方法的有效性.
英文摘要
      A novel observer-based output feedback variable universe adaptive fuzzy controller is investigated in this paper.The contraction and expansion factor of variable universe fuzzy controller is on-line tuned automatically and a number of rules are generated.With this approach,the accuracy of system is improved.With the state-observer,a novel type of adaptive output feedback control is firstly realized in this paper.In order to attenuate the effect of both external disturbance and variable parameters on the tracking error,a supervisory controller is then appended to the variable universe fuzzy controller in order to force the states to stay within the constraint set. Thus,the robustness of system is improved.Furthermore,by Lyapunov method,the observer-controller system is shown to be stable.The overall adaptive control algorithm can thus guarantee the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded.Finally,the proposed control algorithm is applied to control the Chua's chaotic circuit.Simulation results confirm that the control approach is feasible for practical application.