MPC-Based control methodology in networked control systems

Authors:
Ke Zhang;Hai Huang;Jianming Zhang
Affiliations:
National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou, P.R. China;National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou, P.R. China;National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou, P.R. China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

Citing 1
Cited 1

An observer-based compensator for distributed delays

Automatica (Journal of IFAC)

Networked control based on fuzzy logic: an application to a high-performance milling process

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Network random delays directly cause the degradations of networked control systems. A methodology based on model predictive control (MPC) is proposed to overcome the non-deterministic delays in data communication of the network. The general algorithm of dynamic matrix control (DMC) has been improved to make it suitable for network condition. When data packets can not arrive at target nodes in sequence, the predictive value of the system output can be used to take the place of the actual measure value by the controller, and the predictive value of control input will be acted as the required control value which coordinate the whole control system. The experiment results based on Motor Ethernet Control Open Platform (MECOP) show the effectiveness of the real-time networked control strategy.