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Real-time estimation of process frequency response and step response from relay feedback experiments

机译:通过继电器反馈实验实时估计过程频率响应和阶跃响应

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摘要

This paper describes two new methods for obtaining frequency response and step response models for processes operating under relay feedback control. Both methods are based on the frequency sampling filter (FSF) model structure and a recursiveleast-squares (RLS) estimator. With the first method, a standard relay feedback experiment is performed and the FSF/RLS algorithm is used along with the generated input-output data to provide real-time estimates of the press frequency response at thedominant harmonics of the limit cycle. in the second method, a novel relay experiment is proposed that involves switching the error signal back-and-forth between a standard relay element and an integrator in series with a relay. The FSF/RLS algorithm isthen applied to the generated process input-output data to obtain a real time estimate of the process step response.
机译:本文介绍了两种在继电器反馈控制下获得频率响应和阶跃响应模型的新方法。两种方法都基于频率采样滤波器(FSF)模型结构和递归最小二乘(RLS)估计器。对于第一种方法,将执行标准的继电器反馈实验,并将FSF / RLS算法与生成的输入输出数据一起使用,以在极限周期的主要谐波处提供印刷机频率响应的实时估计。在第二种方法中,提出了一种新颖的继电器实验,其中涉及在标准继电器元件和与继电器串联的积分器之间来回切换误差信号。然后,将FSF / RLS算法应用于生成的过程输入输出数据,以获得过程阶跃响应的实时估计。

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