Distributed Double-Layered Dynamic Matrix Control for Large-Scale System

A distributed double-layered dynamic matrix control is proposed for large-scale systems. In the scheme, a large-scale system is first decomposed into several low-dimensional subsystems, and then a double-layered dynamic matrix control algorithm with distributed structure is developed for these subsy...

Full description

Saved in:
Bibliographic Details
Published in:Mathematical problems in engineering 2022-05, Vol.2022, p.1-15
Main Authors: Wang, Li, Cai, Yuanli, Zan, Xin
Format: Article
Language:English
Subjects:
Algorithms
Communication
Control systems
Control theory
Decomposition
Dynamic control
Mathematical problems
Optimization
Predictions
Process controls
Steady state
Subsystems
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:A distributed double-layered dynamic matrix control is proposed for large-scale systems. In the scheme, a large-scale system is first decomposed into several low-dimensional subsystems, and then a double-layered dynamic matrix control algorithm with distributed structure is developed for these subsystems. The distributed open-loop prediction equation of each subsystem is formed based on the predicted output of each local subsystem and effects of its interconnecting neighbor subsystems. Due to simultaneous optimization, at each prediction, the coupling effects of neighbor subsystems are not available in time. Thus, the assumed value is utilized instead. In the economic optimization stage, conflicts may occur among different economic optimization goals. Utopia-tracking strategy is introduced to optimize multiple steady-state targets. Then, the obtained steady-state target values are taken as reference values and tracked in subsequent dynamic control. The actual control move for each subsystem is finally calculated. The proposed algorithm is tested on Shell heavy oil fractionator benchmark, and the effectiveness is demonstrated by comparing with the typical double-layered dynamic matrix control algorithm.
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/4650342