化工学报 ›› 2018, Vol. 69 ›› Issue (3): 1102-1113.DOI: 10.11949/j.issn.0438-1157.20171138

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基于常数对角优势补偿阵的多变量控制系统逆Nyquist阵列设计

许锋, 王启航, 罗雄麟   

  1. 中国石油大学(北京)自动化系, 北京 102249
  • 收稿日期:2017-08-20 修回日期:2017-08-31 出版日期:2018-03-05 发布日期:2018-03-05
  • 通讯作者: 许锋
  • 基金资助:

    国家自然科学基金项目(21676295);中国石油大学(北京)科研基金资助项目(2462015YQ0510)。

Inverse Nyquist array for multivariable control system using constant diagonal dominant pre-compensation matrix

XU Feng, WANG Qihang, LUO Xionglin   

  1. Department of Automation, China University of Petroleum, Beijing 102249, China
  • Received:2017-08-20 Revised:2017-08-31 Online:2018-03-05 Published:2018-03-05
  • Supported by:

    supported the National Natural Science Foundation of China (21676295) and the Science Foundation of China University of Petroleum, Beijing (2462015YQ0510).

摘要:

化工过程中的多变量系统变量之间往往存在耦合作用,在控制系统设计时一般将传递函数阵对角优势化,对角优势化后按多个单变量系统进行设计。由于传递函数逆阵的对角优势化更容易实现,本文采用伪对角化方法设计常数对角优势补偿阵实现传递函数逆阵的对角优势化,在一个或多个频率点上通过使开环传递函数逆阵每行的非对角项元素模平方之和最小,实现对角优势。然后,利用逆Nyquist阵列设计法对补偿后的系统设计控制器,基于逆Nyquist稳定判据,通过绘制优势度曲线和Gershgorin带判断系统的优势程度,根据Gershgorin带选定反馈矩阵的参数范围,按照单变量控制系统的方法设计动态补偿器,使系统满足动态控制品质的要求。最后通过3个示例说明本文的设计方法简便,且具有良好的控制性能。

关键词: 过程控制, 多变量系统, 逆Nyquist阵列设计, 对角优势, 集中控制

Abstract:

There are coupling effects between input and output variables of multivariable system of chemical processes. In control system design, diagonal dominance is usually implemented in transfer function matrix and then several single loop controllers are deployed. Since it is easy to define diagonal dominance by inversing transfer function, a pseudo diagonal dominance method was used to develop constant diagonal dominant compensation matrix for inverse transfer function. First, diagonal dominance was obtained by minimizing sum of module value squares of off-diagonal elements in each row of inverse open-loop transfer-function matrix at one or more frequency points. Then, inverse Nyquist array design method was adopted to design controller for the compensated system. Based on inverse Nyquist stability criterion, diagonal dominance degree was decided from dominance curve and Gershgorin diagram. Parameter range of feedback matrix was also selected from Gershgorin diagram. Dynamic compensators were designed according to method of single variable system, so that the system met quality requirements of dynamic controls. Finally, study on three examples show that the design method is simple and the control performance is excellent.

Key words: process control, multivariable systems, inverse Nyquist array design, diagonal dominance, centralized control

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