LOCAL MODEL NETWORKS FOR MODELLING AND PREDICTIVE CONTROL OF NONLINEAR SYSTEMS

被引：0

作者：

Novak, Jakub ^{[1
]}

Chalupa, Petr ^{[1
]}

Bobal, Vladimir ^{[1
]}

机构：

[1] Tomas Bata Univ, Fac Appl Informat, Dept Proc Control, Zlin 76005, Czech Republic

来源：

23RD EUROPEAN CONFERENCE ON MODELLING AND SIMULATION (ECMS 2009) | 2009年

关键词：

Predictive control; Local Model Networks; Heat-exchanger; Optimization; IDENTIFICATION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper deals with the problem of modelling and control using the Local Model Network (LMN). The idea is based on development of multiple local models for the whole operating range of the controlled process. The local models are then smoothly connected using the validity or weighting functions to provide a nonlinear global model of the plant. For saving the computational load, linear model is obtained by interpolating the parameters of local models at each sample instant and then used in Model Predictive Control (MPC) framework to calculate the future behaviour of the process. The supervisory program, based on a nonlinear global model, computes desired values of manipulated variables leading to minimum utility consumption. The approach is verified in a control of model of a heat exchanger.

引用

页码：557 / 562

页数：6

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