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

共 50 条

[21] A Velocity Algorithm for Nonlinear Model Predictive Control
Cisneros, Pablo S. G.
Werner, Herbert
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (03) : 1310 - 1315
[22] Optimization and nonlinear model predictive control of batch polymerization systems
Silva, DCM
Oliveira, NMC
COMPUTERS & CHEMICAL ENGINEERING, 2002, 26 (4-5) : 649 - 658
[23] Fast Nonlinear Model Predictive Control of Distributed Parameter Systems
Nikolakopoulou, Anastasia
Braatz, Richard D.
2022 AMERICAN CONTROL CONFERENCE, ACC, 2022, : 994 - 999
[24] Deterministic Global Nonlinear Model Predictive Control with Neural Networks Embedded
Doncevic, Danimir T.
Schweidtmann, Artur M.
Vaupel, Yannic
Schaefer, Pascal
Caspari, Adrian
Mitsos, Alexander
IFAC PAPERSONLINE, 2020, 53 (02): : 5273 - 5278
[25] Modelling and disturbance estimation for model predictive control in building heating systems
O'Dwyer, Edward
De Tommasi, Luciano
Kouramas, Konstantinos
Cychowski, Marcin
Lightbody, Gordon
ENERGY AND BUILDINGS, 2016, 130 : 532 - 545
[26] Modelling and explicit model predictive control for PEM fuel cell systems
Panos, C.
Kouramas, K. I.
Georgiadis, M. C.
Pistikopoulos, E. N.
CHEMICAL ENGINEERING SCIENCE, 2012, 67 (01) : 15 - 25
[27] Neural networks as a tool for nonlinear predictive control: Application to some benchmark systems
Jalili, Mahdi
Atashbari, Saeid
Momenbellah, Samad
Roudsari, Farzad Habibipour
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2007, 5 (01) : 69 - 99
[28] Distributed Model predictive control of constrained weakly coupled nonlinear systems
Liu, Xiaotao
Shi, Yang
Constantinescu, Daniela
SYSTEMS & CONTROL LETTERS, 2014, 74 : 41 - 49
[29] Dynamic Modeling and Nonlinear Model Predictive Control of Hybrid Actuator Systems
Raziei, Seyed Ata
Jiang, Zhenhua
2017 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2017, : 119 - 126
[30] Combined Iterative Learning and Model Predictive Control Scheme for Nonlinear Systems
Zhou, Yuanqiang
Tang, Xiaopeng
Li, Dewei
Lai, Xin
Gao, Furong
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (06): : 3558 - 3567

← 1 2 3 4 5 →