2.765

2022影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于输出方差限制的广义多变量控制系统性能评价

李大字 焦军胜 靳其兵 高彦臣

李大字, 焦军胜, 靳其兵, 高彦臣. 基于输出方差限制的广义多变量控制系统性能评价. 自动化学报, 2013, 39(5): 654-658. doi: 10.3724/SP.J.1004.2013.00654
引用本文: 李大字, 焦军胜, 靳其兵, 高彦臣. 基于输出方差限制的广义多变量控制系统性能评价. 自动化学报, 2013, 39(5): 654-658. doi: 10.3724/SP.J.1004.2013.00654
LI Da-Zi, JIAO Jun-Sheng, JIN Qi-Bing, GAO Yan-Chen. Generalized Multivariable Control System Performance Assessment Based on Output Variance Limit. ACTA AUTOMATICA SINICA, 2013, 39(5): 654-658. doi: 10.3724/SP.J.1004.2013.00654
Citation: LI Da-Zi, JIAO Jun-Sheng, JIN Qi-Bing, GAO Yan-Chen. Generalized Multivariable Control System Performance Assessment Based on Output Variance Limit. ACTA AUTOMATICA SINICA, 2013, 39(5): 654-658. doi: 10.3724/SP.J.1004.2013.00654

基于输出方差限制的广义多变量控制系统性能评价

doi: 10.3724/SP.J.1004.2013.00654
详细信息
    通讯作者:

    李大字

Generalized Multivariable Control System Performance Assessment Based on Output Variance Limit

  • 摘要: 研究具有线性时变扰动的多变量控制系统性能评价的方法.通过将时变扰动分为三类定常扰动, 进而构造一个加权的性能指标,权值矩阵与不同扰动类型和优先级相对应.在指定合理的输出方差后, 运用对角关联矩阵方法明确计算出广义多变量系统闭环输出方差的上下限值.经过ITAE (Integral of time-weighted absolute value of the error) 寻优得到最 小输出方差下的控制器参数,并给出可实现的最优控制器模型.仿真实例证明了该方法计算的简便性和有效性.
  • [1] Bialkowski W L. Dreams versus reality: a view from both sides of the gap: manufacturing excellence with come only through engineering excellence. Pulp and Paper-Canada, 1993, 94(11): 19-27[2] Ender D B. Process control performance: not as good as you think. Control Engineering, 1993, 9(10): 180-190[3] Harris T J. Assessment of control loop performance. The Canadian Journal of Chemical Engineering, 1989, 67(5): 856-861[4] Xu F W, Lee K H, Huang B. Monitoring control performance via structured closed-loop response subject to output variance/covariance upper bound. Journal of Process Control, 2006, 16(9): 971-984[5] Wang X, Huang B, Chen T. Multirate minimum variance control design and control performance assessment: a data-driven subspace approach. IEEE Transactions on Control Systems Technology, 2007, 15(1): 65-74[6] Olaleye F, Huang B, Tamayo E. Performance assessment of control loops with time-variant disturbance dynamics. Journal of Process Control, 2004, 14(8): 867-877[7] McNabb C A, Qin S J. Projection based MIMO control performance monitoring: I-covariance monitoring in state space. Journal of Process Control, 2003, 13(8): 739-757[8] Zhao Y, Su H Y, Chu J, Gu Y. Multivariable control performance assessment based on generalized minimum variance benchmark. Chinese Journal of Chemical Engineering, 2010, 18(1): 86-94[9] Bjrklund S. A Survey and Comparison of Time-Delay Estimation Methods in Linear Systems [Ph.D. dissertation], Division of Automatic Control, Department of Electrical Engineering, Linkping University, Sweden, 2003[10] Bezergiannj S, Georgakis C. Evaluation of controller performance —— use of models derived by subspace identification. International Journal of Adaptive Control and Signal Processing, 2003, 17(7-9): 527-552[11] Yu J, Qin S J. MIMO control performance monitoring using left/right diagonal interactors. Journal of Process Control, 2009, 19(8): 1267-1276[12] Xu F W, Huang B, Tamayo E C. Performance assessment of MIMO control systems with time-variant disturbance dynamics. Computers and Chemical Engineering, 2008, 32(9): 2144-2154
  • 加载中
计量
  • 文章访问数:  1331
  • HTML全文浏览量:  70
  • PDF下载量:  1294
  • 被引次数: 0
出版历程
  • 收稿日期:  2012-05-15
  • 修回日期:  2012-09-22
  • 刊出日期:  2013-05-20

目录

    /

    返回文章
    返回