上海交通大学学报(自然版) ›› 2014, Vol. 48 ›› Issue (07): 1009-1014.

• 自动化技术、计算机技术 • 上一篇    下一篇

执行阀黏滞过程的控制性能评估

师明华1,王旭2,谢磊1,赵路军3
  

  1. (1. 浙江大学 工业控制技术国家重点实验室, 智能系统与控制研究所, 杭州 310027;2. 上海核工程研究设计院, 上海 200233; 3. 浙江中控软件技术有限公司, 杭州 310053)
     
  • 收稿日期:2013-07-27 出版日期:2014-07-28 发布日期:2014-07-28
  • 基金资助:

    国家自然科学基金(61134007, 60904039), 中央高校基本科研业务费专项资金资助, 高等学校学科创新引智计划(B07031)

Control Performance Assessment in the Presence of Valve Stiction Nonlinearities

SHI Minghua1,WANG Xu2,XIE Lei1,ZHAO Lujun3
  

  1. (1. State Key Laboratory of Industrial Control Technology, Institute of CyberSystem and Control, Zhejiang University, Hangzhou 310027, China; 2. Shanghai Nuclear Engineering Research and Design Institute, Shanghai 200233, China; 3. Zhejiang Supcon Software Co. Ltd., Hangzhou 310053, China)
  • Received:2013-07-27 Online:2014-07-28 Published:2014-07-28

摘要:

控制性能评估是衡量工业过程控制回路性能和质量的重要技术,常见性能评估方法一般针对线性过程,而忽视了执行阀黏滞等造成的非线性特征. 为此研究了一类存在执行阀黏滞现象的非线性系统,并提出了一种基于改进的径向基函数神经网络时间序列建模的控制性能基准估计方法. 将Hinich 检验算法引入网络评价函数,利用改进的网络评价指标训练径向基网络,以去除过程输出的非线性,进而采用时序分析技术准确估计出系统的控制性能基准. 通过仿真分析,验证了方法的有效性.

 
 

关键词: 控制性能评估, 执行阀黏滞, 径向基神经网络模型, 改进的网络评价指标

Abstract:

Control performance assessment (CPA) is an important strategy to establish the quality of industrial control loops. However, most CPA methods are mainly restricted to linear systems, ignoring common process nonlinearities such as valve stiction. To tackle this problem, a control performance assessment method based on the improved radial basis function (RBF) nonlinear timeseries model in the presence of valve stiction nonlinearities was proposed in this paper. By applying the Hinich test method into the RBF learning, which guarantees the removing of the nonlinear part of the output, the performance benchmark was estimated using standard time series identification techniques. The simulation of an integral process verifies the validity of the proposed method.
 

Key words: control performance assessment (CPA), valve stiction, radial basis function (RBF), improved network evaluation criterion

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