Iterative identification of output error model for industrial processes with time delay subject to colored noise

doi:10.1016/j.cjche.2015.08.021

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (12): 2005-2012.DOI: 10.1016/j.cjche.2015.08.021

• 第25届中国过程控制会议专栏 • 上一篇下一篇

Iterative identification of output error model for industrial processes with time delay subject to colored noise

Shijian Dong¹, Tao Liu¹, Mingzhong Li², Yi Cao³

1 Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China;
2 Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK;
3 School of Energy, Environment and Agrifood, Cranfield University, Cranfield MK43 0AL, UK

收稿日期:2015-05-22 修回日期:2015-07-17 出版日期:2015-12-28 发布日期:2016-01-19
通讯作者: Tao Liu
基金资助:
Supported by the National Thousand Talents Program of China, the National Natural Science Foundation of China (61473054) and the Fundamental Research Funds for the Central Universities of China.

Iterative identification of output error model for industrial processes with time delay subject to colored noise

Shijian Dong¹, Tao Liu¹, Mingzhong Li², Yi Cao³

1 Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China;
2 Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK;
3 School of Energy, Environment and Agrifood, Cranfield University, Cranfield MK43 0AL, UK

Received:2015-05-22 Revised:2015-07-17 Online:2015-12-28 Published:2016-01-19
Contact: Tao Liu
Supported by:
Supported by the National Thousand Talents Program of China, the National Natural Science Foundation of China (61473054) and the Fundamental Research Funds for the Central Universities of China.

摘要/Abstract

摘要： To dealwith colored noise and unexpected load disturbance in identification of industrial processes with time delay, a bias-eliminated iterative least-squares (ILS) identification method is proposed in this paper to estimate the output error model parameters and time delay simultaneously. An extended observation vector is constructed to establish an ILS identification algorithm. Moreover, a variable forgetting factor is introduced to enhance the convergence rate of parameter estimation. For consistent estimation, an instrumental variable method is given to deal with the colored noise. The convergence and upper bound error of parameter estimation are analyzed. Two illustrative examples are used to show the effectiveness and merits of the proposed method.

关键词: Time delay system, Output error model, Recursive least-squares, Instrumental variable, Variable forgetting factor

Abstract: To dealwith colored noise and unexpected load disturbance in identification of industrial processes with time delay, a bias-eliminated iterative least-squares (ILS) identification method is proposed in this paper to estimate the output error model parameters and time delay simultaneously. An extended observation vector is constructed to establish an ILS identification algorithm. Moreover, a variable forgetting factor is introduced to enhance the convergence rate of parameter estimation. For consistent estimation, an instrumental variable method is given to deal with the colored noise. The convergence and upper bound error of parameter estimation are analyzed. Two illustrative examples are used to show the effectiveness and merits of the proposed method.

Key words: Time delay system, Output error model, Recursive least-squares, Instrumental variable, Variable forgetting factor

Shijian Dong, Tao Liu, Mingzhong Li, Yi Cao. Iterative identification of output error model for industrial processes with time delay subject to colored noise[J]. Chinese Journal of Chemical Engineering, 2015, 23(12): 2005-2012.

Shijian Dong, Tao Liu, Mingzhong Li, Yi Cao. Iterative identification of output error model for industrial processes with time delay subject to colored noise[J]. Chin.J.Chem.Eng., 2015, 23(12): 2005-2012.

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Iterative identification of output error model for industrial processes with time delay subject to colored noise

Iterative identification of output error model for industrial processes with time delay subject to colored noise

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