方面:工业自整定非线性控制器的PLC

S. Gerkšič, J. Kocijan, S. Strmcnik, G. Dolanc, D. Vrančić, I. Škrjanc, S. Blažič, M. Božiček, Z. Marinsek, M. Hadjiski, K. Boshnakov, R. King, A. Stathaki
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引用次数: 0

摘要

所提出的自整定非线性控制器ASPECT(可编程逻辑控制器的高级控制算法)旨在控制一类实际重要的非线性过程,这些过程可能由一组低阶局部线性模型表示。该模型是通过使用在线学习过程的实验建模获得的,该过程将模型识别与提供可靠操作的前后识别步骤相结合。有几种控制算法可供选择,适用于可能用于控制的不同过程,其参数可从模型自动调整。控制器监视由此产生的控制性能,并可能对检测到的异常情况作出反应。控制器结构和算法的选择允许在可用的工业硬件上实现,如可编程逻辑控制器(plc)或开放式控制器,并简化参数配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASPECT: industrial self-tuning nonlinear controller on a PLC
The presented self-tuning nonlinear controller ASPECT (advanced control algorithms for programmable logic controllers) is intended for control of a practically important class of nonlinear processes that may be presented by a set of low-order local linear models. The model is obtained by means of experimental modelling using an online learning procedure that combines model identification with pre- and post-identification steps that provide reliable operation. There is a choice of several control algorithms suitable for different processes that may be used for control and whose parameters are automatically tuned from the model. The controller monitors the resulting control performance and may react to detected irregularities. The choice of the controller structure and algorithms allows implementation on available industrial hardware, such as programmable logic controllers (PLCs) or open controllers, and simplifies configuration of parameters.
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