首页 | 本学科首页   官方微博 | 高级检索  
     

变论域自适应模糊PID方法的研究与仿真
引用本文:朱岩,郭军平. 变论域自适应模糊PID方法的研究与仿真[J]. 空军工程大学学报(自然科学版), 2005, 6(5): 11-13
作者姓名:朱岩  郭军平
作者单位:西北工业大学,电子信息学院,陕西,西安,710072;西北工业大学,电子信息学院,陕西,西安,710072
基金项目:国家自然科学基金资助项目(10377014)
摘    要:从优化模糊控制器的角度出发,讨论了变论域思想和伸缩因子的概念,同时就量化、比例因子和伸缩因子的关系进行了分析,进而阐述了一般情况下两种伸缩因子的选取方法;在此基础上将模糊PID和变论域思想想结合,形成变论域自适应模糊PID控制结构;最后通过某复杂非线性系统进行仿真研究,结果表明该方法达到了预期目的,优越性明显。

关 键 词:变论域  伸缩因子  模糊控制  自适应  仿真
文章编号:1009-3516(2005)05-0011-03
收稿时间:2005-04-25
修稿时间:2005-04-25

The Study and Simulation of Fuzzy PID Based on Mutative Field
ZHU Yan,GUO Jun-ping. The Study and Simulation of Fuzzy PID Based on Mutative Field[J]. Journal of Air Force Engineering University(Natural Science Edition), 2005, 6(5): 11-13
Authors:ZHU Yan  GUO Jun-ping
Abstract:From the point of view of the optimization in fuzzy control, the idea of variable domain and the concept of flex factor are discussed. At the same time the preponderance of variable domain and the relationship between the quantization factor, the proportional factor and the flex factor are explained. In addition, the method of selecting the two flex factors is analyzed in detail. Another new intelligence control means - fuzzy logic adjusting PID online based on variable domain on self- adaptation is realized by putting the idea of variable domain into fuzzy PID. The research is based on some complicated nonlinear system, and the result of simulation is predominant.
Keywords:variable domain    flex factor   fuzzy control    self-adaptation    simulation
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《空军工程大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《空军工程大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号