引用本文:刘士荣,俞金寿.神经模糊逆模/PID复合控制在CSTR中的应用[J].控制理论与应用,2001,18(5):769~773.[点击复制]
LIU Shi-rong,YU Jin-shou.Composite Control Combining Neuro-Fuzzy Inverse Control with PID Control and Its Application in a Continuous Stirred Tank Reactor[J].Control Theory and Technology,2001,18(5):769~773.[点击复制]
神经模糊逆模/PID复合控制在CSTR中的应用
Composite Control Combining Neuro-Fuzzy Inverse Control with PID Control and Its Application in a Continuous Stirred Tank Reactor
摘要点击 1692  全文点击 1764  投稿时间：2000-03-20  修订日期：2000-08-15
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DOI编号  10.7641/j.issn.1000-8152.2001.5.028
  2001,18(5):769-773
中文关键词  神经模糊模型  逆系统  逆模控制  PID控制  化学反应器
英文关键词  neuro fuzzy models  inverse system  direct inverse control  PID control  chemical reactor
基金项目  国家自然科学基金(69870411)资助项目.
作者单位
刘士荣 宁波大学 自动化系, 宁波 315211 
俞金寿 华东理工大学 自动化研究所, 上海 200238 
中文摘要
      研究了基于广义基函数神经模糊模型的逆系统实现及其直接逆模控制, 并提出将直接逆模控制与PID反馈控制相结合的复合控制策略. 该控制策略已应用于CSTR的反应浓度控制. 仿真结果表明, 神经模糊逆模 /PID复合控制能克服因辨识逆模型不精确引起的缺陷, 并具有良好控制性能.
英文摘要
      This paper studies the realization of inverse systems and direct inverse control strategies based on the generalized basis function neural fuzzy network(GBFNFN), and presents the composite control strategy combining neuro fuzzy inverse control with PID control. The composite control strategy has been applied to the control of the concentration of a continuous stirred tank reactor(CSTR). Simulation results show that the composite control strategy can overcome the defects of direct inverse control caused by inaccuracy of the identified inverse model, and that the system can have good control performances.