期刊文献+

基于子空间辨识的模型算法控制器设计 被引量:1

Model Algorithm Control Design Based on Subspace Identification Method
下载PDF
导出
摘要 提出了一种基于子空间辨识的模型算法控制器设计方法。在输入信号满足持续激励的条件下,先利用子空间辨识方法提取出系统有限单位脉冲响应序列,再利用单位脉冲序列构成的矩阵设计预测控制器。该方法将独立的对象辨识和控制器设计整合在一起,简化了控制器的设计过程,是一种完全的数据驱动方式。工业过程对象的仿真实验详细给出了该算法的设计过程。 A approach to model algorithm control (MAC) design is proposed based on subspace method identification. Zn the case thatthe input sequences satisfy the condition of persistency of excitation, the finite impulse response (FIR) sequences of the system are firstly extravagated hy using SMI. Then, MAC is designed directly from a matrix formed by FIR sequences. The proposed method not only unites the procedure of both system identification and controller design, but also simplifies the controller design process, and is a totally data-driven technology. The proposed approach is demonstrated using a simulated process.
出处 《控制工程》 CSCD 北大核心 2011年第5期668-670,696,共4页 Control Engineering of China
基金 国家高技术研究发展计划项目(2007AA04Z195) 国家水体污染控制与治理科技重大专项课题(2008ZX07010-003)
关键词 子空间辨识 模型算法控制 有限单位脉冲响应 subspace identification method model algorithm control finite impulse response
  • 相关文献

参考文献16

  • 1Overschee Van P, Moor De B. Subspace identification for linear system : Theory implementation application [ M ]. Kluwer Academic Publishers, 1996.
  • 2Katayama T. Subspace methods for system identification[ M]. Heidelberg : Springer,2005.
  • 3Huang B, Kadali R. Dynamic modeling, predictive control and performance monitoring : A data-driven subspace approach [ M]. London : Springer,2008.
  • 4Lennart L. System identification-theory for the user second edition [ M]. Prentice Hall,1999.
  • 5Larimore W E. Canonical variate analysis in identification, filtering, adaptive control [ J ]. Decision and Control, 1990 : 596 -604.
  • 6Verhaegen M. Application of a subspace model identification technique to identify LTI systems operating in closed-loop [ J]. Automatica, 1993,29 (4) :1027-1040.
  • 7Overschee Van P, Moor De B. N4SID:Subspace algorithm for identification of combined deterministic-stochastic systems [ J ]. Automatica 1994,30 ( 1 ) :75-93.
  • 8Overschee Varr P, Moor De B. A unifying theorem for three subspace system identification algorithms[J]. Automatica, 1995,31 (2) :1853-1864.
  • 9Favoreel W, Moor De B, Overschee Van P. Subspace state space system identification for industrial processes[ J]. Journal of Process Control ,2000,10 ( 3 ) : 149-155.
  • 10Wang J, Qin S J. A new subspace identification approach based on principal component analysis [ J ]. Journal of Process Control, 2002,12 :841 -855.

二级参考文献7

  • 1HA Q P, NGUYEN Q H, RYE D C, et al. Fuzzy sliding-mode controllers with applications[J]. IEEE Trans on Industrial Electronics,2001, 48 (1): 38 -46.
  • 2HSU Feng-Yih, FU Li-Chen. Nonlinear control of robot manipulators using adaptive fuzzy sliding mode control[J]. Proceedings of the IEEE/RSJ Int Conf on Intelligent Robots and Systems 95, 1995, 1 (1):156- 161.
  • 3EMAMI M R, GOLDENBERG A A, TURKSEN I B. A robust model-based fuzzy-logic controller for robot manipulators[J]. Proceedings of the IEEE Int Conf on Robotics and Automation, 1998,3(3): 2500 - 2505.
  • 4TSAY T I, HUANG J H. Robust nonlinear control of robot manipulators[J]. Proceedings of the IEEE Int Conf on Robotics and Automation, 1994, 8(3): 2083 - 2088.
  • 5BEKIT B W, WHIDBORNE J F, SENEVIRATNE L D. Fuzzy sliding mode control for a robot manipulator[J]. Proceedings of the IEEE Int Symposium on Computational Intelligence in Robotics and Automation, 1997, 33(2): 149 - 160.
  • 6GRIMM W M. Robot nonlinear bounds evaluation techniques for robust control[J]. Adaptive Cont Signal Processing, 1990, 4(2): 501- 522.
  • 7MAN Zhihong, PALANISWAMI M . Robust tracking control for rigid robotic manipulators[J]. IEEE Trans on Automatic Control,1994, 39(1): 154 - 159.

共引文献34

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部