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论文类型：期刊论文

发表时间：2018-01-01

发表刊物：IFAC-PapersOnLine

收录刊物：CPCI-S、EI

卷号：51

期号：21

页面范围：224-228

关键字：Output error model; Time Delay; Disturbance; Multi-innovation; Adaptive Forgetting Factor

摘要：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