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A Systematic Approach for On-Line Identification of Second-Order Process Model from Relay Feedback Test

机译:从继电器反馈测试中在线识别二阶过程模型的系统方法

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摘要

Low-order process modeling provides a basis for control system design and on-line autotuning in process control. A systematic on-line identification method is proposed in this article to obtain a second-order-plus-dead-time (SOPDT) model from a single biased/unbiased relay feedback test. The relay response shapes of the three types of SOPDT model, overdamped, critically damped, and underdamped, are first examined and categorized for model structure selection before proceeding with the corresponding parameter identification. Exact expressions of the corresponding limit cycles are derived for assessing process response under relay feedback test. By using the measurable parameters of these limit cycles, the corresponding identification algorithms are subsequently derived in a transparent manner. Two denoising methods are given to cope with measurement noises. Illustrative examples are performed to demonstrate the effectiveness and merits of the proposed identification algorithms.
机译:低阶过程建模为过程控制中的控制系统设计和在线自动调整提供了基础。本文提出了一种系统的在线识别方法,以从单个有偏/无偏继电器反馈测试中获得二阶加死时间(SOPDT)模型。首先对三种类型的SOPDT模型的继电器响应形状(过阻尼,临界阻尼和欠阻尼)进行检查和分类,以进行模型结构选择,然后进行相应的参数识别。导出了相应极限循环的精确表达式,以评估继电器反馈测试下的过程响应。通过使用这些极限循环的可测量参数,随后以透明方式导出相应的识别算法。给出了两种去噪方法来应对测量噪声。执行说明性示例以证明所提出的识别算法的有效性和优点。

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