引用本文:龙祖强,梁昔明,游开明,陈列尊.双输入单输出潜遗传变论域模糊控制算法及其收敛性[J].控制理论与应用,2008,25(4):683~687.[点击复制]
LONG Zu-qiang,LIANG Xi-ming,YOU Kai-ming,CHEN Lie-zun.Double-input and single-output fuzzy control algorithm with potentially-inherited variable universe and its convergence[J].Control Theory and Technology,2008,25(4):683~687.[点击复制]
双输入单输出潜遗传变论域模糊控制算法及其收敛性
Double-input and single-output fuzzy control algorithm with potentially-inherited variable universe and its convergence
摘要点击 1441  全文点击 1311  投稿时间:2007-09-20  修订日期:2008-01-28
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DOI编号  
  2008,25(4):683-687
中文关键词  模糊控制  变论域  模糊逻辑  模糊推理  收敛性  伸缩因子  潜遗传
英文关键词  fuzzy control  variable universe  fuzzy logic  fuzzy inference  convergence  contraction-expansion factor  potential heredity
基金项目  国家重点基础研究发展规划(973)项目(2002CB312203); 高等学校博士学科点专项科研基金项目(20070533131); 湖南省教育厅科研项目(06C200).
作者单位E-mail
龙祖强 中南大学 信息科学与工程学院, 湖南 长沙 410083
衡阳师范学院 物理与电子信息科学系, 湖南 衡阳 421008 
dragon51@126.com 
梁昔明 中南大学 信息科学与工程学院, 湖南 长沙 410083  
游开明 衡阳师范学院 物理与电子信息科学系, 湖南 衡阳 421008  
陈列尊 衡阳师范学院 物理与电子信息科学系, 湖南 衡阳 421008  
中文摘要
      研究了一种变论域模糊控制算法及其收敛性问题. 首先, 针对常见的双输入单输出模糊控制器, 提出了一种新型的潜遗传变论域模糊控制算法, 通过使用模糊单值转换函数, 简化了新算法推理后件的变论域操作, 显著地减少了计算量. 然后, 从理论上证明了新算法的收敛性. 最后, 为了验证算法的有效性, 本文将新算法和已有的两个典型算法做了倒立摆实验对比. 结果表明, 相对于已有算法, 由新算法构成的控制器在控制精度上有明显的提高.
英文摘要
      The problems of variable-universe fuzzy control algorithm and its convergence are studied in this paper. First, a novel potentially-inherited variable-universe fuzzy control algorithm is proposed for conventional double-input and single-output fuzzy controllers. By using a fuzzy-singleton transition function, the computation of the algorithm is significantly reduced because its operations are simplified on the variable universe of the consequent part of inference. Then, the convergence of the algorithm is proved theoretically. Finally, to confirm the algorithm’s effectiveness, comparison experiments on inverted pendulum are done using two typical algorithms and the new one. The results of experiments show that, compared with the two typical algorithms, the controller based on the new algorithm obtains notable improvement in control precision.