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最小方差控制中的最优输入信号设计 被引量:1

Optimal Input Signal Design for Minimum Variance Control
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摘要 为研究最小方差控制中的最优输入信号设计问题,推导了最小方差控制器与闭环反馈结构中对象模型、噪声模型之间的关系。基于闭环反馈系统中频响函数估计的渐近分析,考虑系统对象模型、噪声模型和控制器三者之间的摄动性。分别采用输出端误差平方的均值、输入端误差平方的均值和输出端估计值平方的均值作为评价性能指标函数,推导三种情况下最优输入信号设计问题对应的约束优化问题。通过求解对应的约束优化问题,得到三种情况下最优输入信号的功率谱密度表达式。最后用仿真算例验证本文方法的有效性和可行性。 To study the problem of designing the optimal input signal in minimum variance control, the paper deduces the relationship between the system model and disturb model in the structure of the minimum variance controller and closed-loop feedback. Based on asymptotic analysis of frequency ring function estimation in the close-loop feedback system, perturbation of the relationship among system object model, noise model and the controller is considered. The average value of output error square, input error square and the output estimating value square as evaluating performance index function are adopted to deduce constraint optimization problems of the design of the optimal input signal in the three situations. By solving the corresponding constraint optimization problem, the power spectral density expression of the optimal input signal in the three situations is obtained. Finally, simulation results show the feasibility and effectiveness of the method in this paper.
作者 王建宏
出处 《华东交通大学学报》 2011年第6期53-62,共10页 Journal of East China Jiaotong University
关键词 最小方差控制 最优输入信号 性能函数 minimum variance control optimal input signal performance function
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参考文献14

  • 1张立群,邵惠鹤.基于最小方差控制的闭环辨识信号设计[J].上海交通大学学报,2004,38(4):521-523. 被引量:5
  • 2LJUNG L. System identification: Theory for the user[M ] : Prentice Hall. 1999: 441-445.
  • 3GEVERS M L. Optimal experiment designs with respect to the internal model application [J]. Automatica, 1986, 22 (5) : 543-555.
  • 4FORSSEL U, LJUNG, L. Some results on optimal experiment design [ J ]. Automatica, 2000,36 (5) : 749-756.
  • 5ZHU YUCAI. BUTOYI F. Optimal closed-loop identification test design for internal model control [J].Automatica, 2000,36 (4) : 1237-1241.
  • 6HILDEBRAND R. Identification for control: optimal input design with respect to a worst case gap cost function [J]. SIAM Journal on Control and Optimization, 2003,41 (5) : 1586-1608.
  • 7HILDEBRAND R. Identification for control:optimal input intended to identify a minimum variance control [J]. Automatica, 2007,43 (5) : 758-767.
  • 8JANSSON H. Input design via LMIs admitting frequency wise model specifications in confidence regions [ J ]. IEEE Transac- tion on Automatic Control, 2005,50(10) : 1534-1549.
  • 9HAKAN HJALMARSSON. Close loop experiment design for linear invariant dynamical systems via LMIs [J]. Automatica, 2008,44(2) : 623-636.
  • 10BOMBOIS X. Least costly identification experiment for control [J].Automatica, 2006, 42 (10) : 1651-1662.

二级参考文献13

  • 1Unbehauen H, Rao G P. Continuous-time approaches to system identification -- A survey [ J ]. Automatica, 1990, 26(2): 23-25.
  • 2Gawthrop P J, Nihtila M T, Rad A B. Recursive parameter estimation of continuous-time systems with unknown time delay[J]. Control Theory and Advanced Technology, 1989, 5(1): 227-248.
  • 3Ljung L. Theory and practice of recursive identification [M]. Cambridge: The MIT Press, 1983.
  • 4Ding F, Chen T. Parameter estimation of dual-rate stochastic systems by using an output error method[J]. IEEE Trans on Automatic Control, 2005, 50(9): 1436- 1441.
  • 5Ding F, Chen T. Performance analysis of multiinnovation gradient type identification methods [J]. Automatica, 2007, 43(1): 1-14.
  • 6Ngia L S H. Separable nonlinear least-squares methods for efficient off-line and on-line modeling of systems using Kautz and Laguerre filters[J]. IEEE Trans on Circuit and Systems, 2001, 48(2): 562-579.
  • 7Zheng W X, Feng C B. Identification of stochastic time lag systems in the presence of coloured noise [J]. Automatica, 1990, 26(3): 769-779.
  • 8Ljung L. System identification: theory for the user[M]. 2nd ed. New York: Prentice-Hall, 1999.
  • 9Zhu Y C. Multivariable and closed-loop identification for MPC: the asymptotic method and its application[J]. Journal of Process Control, 1998, 8(2) : 101-115.
  • 10Gevers M, Ljung L. Optimal experiment designs with respect to the intended model application[J]. Automatica, 1986, 22(5) :543-555.

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