Paper
23 May 2023 Generalized predictive decoupling control with constraints
Lina Zhao, Huixiu Li, Liying Zhang, Ping Liu
Author Affiliations +
Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126454X (2023) https://doi.org/10.1117/12.2681143
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
A multivariable generalized predictive decoupling control algorithm with constraints is proposed for a series multivariable system composed of complex industrial plants. The tracking error caused by the coupling of the system can be reduced by changing the weight of the error, so that the coupling degree of the system can be reduced. The constraint conditions of the system variables are considered, and the control variables are obtained by quadratic programming. The simulation results of the proposed method and the conventional multivariable constrained generalized predictive control algorithm on a series plant show the superiority of the algorithm.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lina Zhao, Huixiu Li, Liying Zhang, and Ping Liu "Generalized predictive decoupling control with constraints", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126454X (23 May 2023); https://doi.org/10.1117/12.2681143
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Control systems

Computer programming

Computer simulations

Detection and tracking algorithms

Design and modelling

Mathematical optimization

Matrices

Back to Top