Optimization of the Parameters of a Model Predictive Control System for an Industrial Fractionator

The problem of parametric synthesis of a model predictive control (MPC) system by the chemical process of production of the kerosene fraction of an industrial fractionator under conditions of constraints and uncertainty is considered. The optimal parameters of the MPC algorithm are obtained as a res...

Full description

Saved in:
Bibliographic Details
Published in:Automation and remote control 2024-07, Vol.85 (7), p.652-659
Main Authors: Snegirev, O. Yu, Torgashov, A. Yu
Format: Article
Language:English
Subjects:
Algorithms
Automation in Industry
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Chemical synthesis
Computer-Aided Engineering (CAD
Control
Control systems
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Multiple criterion
Optimization
Parameter uncertainty
Plant layout
Predictive control
Robotics
Systems Theory
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The problem of parametric synthesis of a model predictive control (MPC) system by the chemical process of production of the kerosene fraction of an industrial fractionator under conditions of constraints and uncertainty is considered. The optimal parameters of the MPC algorithm are obtained as a result of solving the problem of multi-criteria optimization, taking into account the intervally specified parameters of the plant model.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117924700085