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Frequency domain identification of continuous-time output-error models with time-delay from relay feedback tests

机译:继电器反馈测试的频率域识别连续时间输出误差模型

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摘要

This paper is concerned with identification of continuous-time output-error models with time-delay from relay feedback tests. Conventional methods for solving this problem consist in deriving analytical limit cycle expressions and fitting them to measured shape factors. However, they may fail to handle different limit cycles uniformly, due to the structural differences in the analytical expressions. To overcome this problem, we consider a more general, data-based, parametric identification framework using sampled limit cycle data. A frequency domain method that minimizes the sum of squared output-errors is developed. The proposed method can be of high accuracy, thanks to the periodic input-output signals provided by sustained relay feedback oscillations, which can help to reduce leakage and aliasing errors. Besides, a distinctive merit of the proposed method is that identification of stable and unstable plants can be equally simple. The effectiveness and superiority of the proposed method are demonstrated by means of both theoretical analyses and simulation examples. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文涉及从继电器反馈测试的时延识别连续输出误差模型。用于解决该问题的常规方法包括推导分析极限循环表达并将其装配到测量的形状因子。然而,由于分析表达式的结构差异,它们可能无法均匀地处理不同的极限循环。为了克服这个问题,我们考虑使用采样限制周期数据的更一般,基于数据的参数识别框架。开发了一种最小化平方输出误差和的频域方法。由于持续的继电器反馈振荡提供的周期性输入输出信号,所提出的方法可以具有高精度,这有助于减少泄漏和混叠误差。此外,所提出的方法的独特优点是稳定和不稳定的植物的识别可以同样简单。通过理论分析和模拟实施例证明了所提出的方法的有效性和优越性。 (c)2018年elestvier有限公司保留所有权利。

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