Indexed by:Journal Article

First Author:Du, Jun

Correspondence Author:Du, J (reprint author), Dalian Univ Technol, Inst Adv Control Technol, Dalian 116024, Peoples R China.

Co-author:Zhao, Jun,Dong, Shijian,Liu, Tao

Date of Publication:2018-01-01

Journal:IFAC-PapersOnLine

Included Journals:EI、CPCI-S

Document Type:J

Volume:51

Issue:21

Page Number:224-228

Key Words:Output error model; Time Delay; Disturbance; Multi-innovation; Adaptive Forgetting Factor

Abstract:In this paper, a robust output error model identification method is proposed for industrial processes with time delay subject to load disturbance. By viewing the load disturbance response as a time-variant parameter to be estimated, an extended recursive least-squares (RLS) identification method is established to simultaneously estimate the model parameters and the disturbance response, based on a multi-innovation fitting strategy. The integer type time delay parameter is determined by using a one-dimensional searching approach. An auxiliary model is used to estimate the noise-free output against stochastic noise. Besides, two adaptive forgetting factors are introduced to improve the convergence rates of estimating the time-invariant model parameters and the time-variant disturbance response, respectively. The effectiveness and merit of the proposed method is demonstrated by an illustrative example. ? 2018