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

作者：Dong, Shijian; Liu, Tao^*; Li, Mingzhong; Cao, Yi

来源：Chinese Journal of Chemical Engineering, 2015, 23(12): 2005-2012.

DOI：10.1016/j.cjche.2015.08.021

• Time delay system
• Output error model
• Recursive least-squares
• Instrumental variable
• Variable forgetting factor

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.

• 出版日期2015-12
• 单位大连理工大学