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JACIII Vol.26 No.4 pp. 495-503
doi: 10.20965/jaciii.2022.p0495
(2022)

Paper:

A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance

Meiliu Li*1,*2,*3, Jinhua She*4,†, Zhen-Tao Liu*1,*2,*3, Wangyong He*1*2*3, Feng Wang*1,*2,*3, Juan Zhao*1,*2,*3, and Yasuhiro Ohyama*4

*1School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

*2Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

*3Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

*4School of Engineering, Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

Corresponding author

Received:
December 9, 2021
Accepted:
March 24, 2022
Published:
July 20, 2022
Keywords:
packet losses, time delays, networked control system, adaptive model predictive control (AMPC), equivalent input disturbance (EID)
Abstract
A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance

Structure of an AMPC-EID-based NCS

This paper presents an adaptive compensation control strategy for packet losses, time delays, and exogenous disturbances in a networked control system. The structure consists of five parts: a plant, a Luenberger observer, an equivalent-input-disturbance (EID) estimator, an adaptive model predictive controller (AMPC), and a network. The AMPC in the local main control room produces an adaptive tracking gain, which can ensure the effective tracking of the reference signal in the presence of uncertainty and time delays in the plant. The EID estimator at the local site compensates for packet losses and exogenous disturbances through an independently designed state observer and a low-pass filter. A practical application case results show the effectiveness of the presented method compared with the conventional EID approach.

Cite this article as:
M. Li, J. She, Z. Liu, W. He, F. Wang, J. Zhao, and Y. Ohyama, “A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.4, pp. 495-503, 2022.
Data files:
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Last updated on Sep. 27, 2022