Linearizing control of a binary distillation column based on a neuro-estimator

J. González , R. Aguilar , J. Alvarez-Ramı́rez , G. Fernández , M. Barrón
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引用次数: 10

Abstract

In this work, the LV-control problem in binary distillation columns is addressed. With least prior knowledge, a linear reference model with unknown terms is obtained. The time variations of the unknown terms are estimated using two on-line trained perceptrons. These estimates are subsequently used to design a feedback linearizing-like controller. The closed-loop behavior is analyzed through numerical examples. The resulting controller shows robustness against external disturbances and set-point changes.

基于神经估计器的二元精馏塔线性化控制
本文研究了二元精馏塔的lv控制问题。在先验知识最少的情况下,得到一个未知项的线性参考模型。使用两个在线训练的感知器估计未知项的时间变化。这些估计随后被用于设计一个反馈线性化控制器。通过数值算例分析了系统的闭环特性。所得到的控制器对外部干扰和设定点变化具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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