首页 | 本学科首页   官方微博 | 高级检索  
     

大时滞过程自适应智能模糊-Smith控制研究
引用本文:孙小方,蔡亦军,潘海天,夏陆岳.大时滞过程自适应智能模糊-Smith控制研究[J].工业仪表与自动化装置,2008(5):6-8.
作者姓名:孙小方  蔡亦军  潘海天  夏陆岳
作者单位:浙江工业大学,化学工程与材料学院,浙江,杭州,310032
摘    要:为进一步提高模糊-Smith控制的稳态精度及自适应能力,提出自适应智能模糊-Smith控制策略,其基本控制级采用模糊-Smith控制,协调级采用自适应机制实时调整控制器量化因子和比例因子,智能积分器根据偏差及偏差变化率实时调整积分作用。仿真结果表明,该控制策略具有更好的动静态特性及更强的鲁棒性。

关 键 词:大时滞  模糊-Smith控制  自适应  智能

Research on self-adaptive intelligent fuzzy-Smith control for processes with large time-delay
SUN Xiao-fang,CAI Yi-jun,PAN Hai-tian,XIA Lu-yue.Research on self-adaptive intelligent fuzzy-Smith control for processes with large time-delay[J].Industrial Instrumentation & Automation,2008(5):6-8.
Authors:SUN Xiao-fang  CAI Yi-jun  PAN Hai-tian  XIA Lu-yue
Affiliation:( College of Chemical Engineering and Materials Science under Zhejiang University of technology,Zhejiang Hangzhou 310032, China)
Abstract:A self-adaptive intelligent fuzzy-Smith control strategy is presented to improve the steady- state accuracy and self-adaptive ability. The fuzzy-Smith controller is used in a lower level and a self-adaptive method is used to make an on-line adjustment of both quantitative factors and scale factors in a supervisory level. Furthermore, the intelligent integrator is adjusted according to the deviation and the rate of change in deviation. Simulation results show that the proposed strategy is superior to the conventional fuzzy-Smith controller and is effective in controlling the time-varying processes with large time-delay.
Keywords:large time-delay  fuzzy-Smith control  self-adaptive  intelligent
本文献已被 维普 万方数据 等数据库收录!
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