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Identification of Discrete-Time Output Error Model Using Filtered Input Excitation for Integrating Processes With Time Delay

机译:基于滤波输入激励的时滞集成过程离散时间输出误差模型的辨识

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摘要

A discrete-time output error (OE) model identification method is proposed for industrial integrating processes with time delay, to facilitate the discrete-time controller design and implementation in sampled systems. By subtly introducing a differential filter to the input excitation, an open-loop identification test can be performed for such a process while complying with the output limit. Correspondingly, the parameter estimation is equivalently transformed to identify a stable type OE model with time delay. A recursive identification algorithm is developed to simultaneously estimate all the model parameters including the integer delay, and a linear interpolation of the input excitation is given for the recursive computation to guarantee consistent estimation. The convergence of parameter estimation is analyzed with a proof. An illustrative example is used to demonstrate the effectiveness of the proposed method.
机译:针对具有时滞的工业集成过程,提出了一种离散时间输出误差(OE)模型辨识方法,以方便离散时间控制器的设计和在采样系统中的实现。通过将差分滤波器巧妙地引入到输入激励中,可以在符合输出限制的同时对这种过程执行开环识别测试。相应地,参数估计被等效地变换以识别具有时间延迟的稳定类型OE模型。开发了一种递归识别算法,以同时估算包括整数延迟在内的所有模型参数,并为递归计算给出了输入激励的线性插值,以保证估算的一致性。对参数估计的收敛性进行了证明。一个说明性的例子用来证明所提出的方法的有效性。

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