引用本文:刘军, 刘丁, 钱富才, 王玲芝.基于模糊神经网络大容量输油泵多变量控制[J].控制理论与应用,2005,22(6):961~964.[点击复制]
LIU Jun,LIU Ding,QIAN Fu-cai,WANG Ling-zhi.Multi-variable control of high power oil pump system based on fuzzy neural network[J].Control Theory and Technology,2005,22(6):961~964.[点击复制]
基于模糊神经网络大容量输油泵多变量控制
Multi-variable control of high power oil pump system based on fuzzy neural network
摘要点击 1281  全文点击 1306  投稿时间:2004-02-16  修订日期:2005-02-07
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DOI编号  10.7641/j.issn.1000-8152.2005.6.019
  2005,22(6):961-964
中文关键词  模糊神经网络  多变量控制  输油泵
英文关键词  fuzzy neural network  multi-variable control  oil-pump
基金项目  陕西省教育厅基金资助项目(04JK249).
作者单位
刘军, 刘丁, 钱富才, 王玲芝 西安理工大学 自动化与信息工程学院,陕西西安710048 
中文摘要
      大容量输油泵系统是一个时变非线性复杂系统,生产要求对输油泵的流量、入口压力和出口压力进行协调控制.根据大容量输油泵系统实际控制要求,提出了基于模糊神经网络大容量输油泵多变量控制策略,设计了控制系统和模糊神经网络控制器的结构,给出了模糊神经网络控制器、模型辨识网络参数的修正算法.仿真结果表明该系统能根据流量、入口压力和出口压力给定值与实际值之间的偏差,在线修正控制器参数,实现对大容量输油泵流量、入口压力和出口压力的协调控制.
英文摘要
      High power oil pump system is a nonlinear complex and time-varying system.In practical operation,the flow,the inlet pressure and the outlet pressure of the system need to be controlled.A novel control scheme based on fuzzy neural network is proposed.The structure of the system is designed,and the algorithms for modifying parameters are also derived.Simulation results show that the parameters of the fuzzy neural controller can be modified in accordance with the error between the setting value and practical value of the flow,the inlet pressure and the outlet pressure of the system in real time;and the integrated control of the flow,the inlet pressure and the outlet pressure of the system can be realized.