Robustness of a class of bias update controllers for blending systems

被引：12
|
作者：
Alvarez-Ramirez, J
Morales, A
Suarez, R
机构：
[1] Univ Autonoma Metropolitana Iztapalapa, Inst Mexicano Petroleo, Program Matemat Aplicadas & Computac, Mexico City 09340, DF, Mexico
[2] Univ Autonoma Metropolitana Iztapalapa, Div Ciencias Basicas & Ingn, Mexico City 09340, DF, Mexico
来源：
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | 2002年 / 41卷 / 19期
关键词：
D O I：
10.1021/ie0109455
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The aim of this paper is to study the robustness of a class of control strategies with bias update for blending operation. The class of blender control systems consists of a linear programming endowed with a bias updating scheme to reduce (nonlinear) model/plant mismatch within a real-time operation procedure. It is proven that these control strategies are robust against fluctuations in the stream properties and blending nonlinearities as long as deviations from the ideal mixing rules are sufficiently small. Discussions are concluded with a demonstration of the results on simulations of a simple gasoline blending control problem.
引用
收藏
页码：4786 / 4793
页数：8
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