Improved Distributed Predictive Functional Control With Basic Function and PID Control Structure

Bibliographic Details
Title: Improved Distributed Predictive Functional Control With Basic Function and PID Control Structure
Authors: Zhe Yu, Jianjun Bai, Hongbo Zou
Source: IEEE Access, Vol 8, Pp 18219-18227 (2020)
Publisher Information: IEEE, 2020.
Publication Year: 2020
Collection: LCC:Electrical engineering. Electronics. Nuclear engineering
Subject Terms: Distributed predictive functional control, PID control, basis function, coupling system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
More Details: It is known that constraints and disturbances in practice may affect the performance of distributed predictive functional control (DPFC) system greatly, thus it is necessary to develop a method to enhance the control performance further. Based on such background, a modified predictive functional control with basic function and PID control structure (BFPID-DPFC) is proposed for large-scale strong coupling system in this paper. In this approach, the performance index is reconstructed by utilizing the Proportional integral derivative (PID) factor and the weighting coefficient of basis functions firstly, then the ensemble control performance of the strong coupling system can be improved by adjusting the corresponding factors. Further, the coupling effect between subsystems can be eliminated by employing Nash game theory, then the improved DPFC approach is obtained. The comparisons between conventional DPFC method and the BFPID-DPFC approach are done in the simulation part, and the results show that the ensemble control performance of the proposed DPFC algorithm is better.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8963703/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2020.2967886
Access URL: https://doaj.org/article/14deeaf8cf6d4532bbfa9f5dd1ae4bfd
Accession Number: edsdoj.14deeaf8cf6d4532bbfa9f5dd1ae4bfd
Database: Directory of Open Access Journals
More Details
ISSN:21693536
DOI:10.1109/ACCESS.2020.2967886
Published in:IEEE Access
Language:English