Network Optimization-Based MPC for Distributed Control Systems

Abstract:

In this paper, a novel network optimization-based MPC scheme is proposed for on-line optimization and control of a class of distributed control systems, in which the on-line optimization of the whole system is decomposed into that of several small-scale sub-systems in distributed structures. Under network environment, the connectivity of the communication network is assumed to be sufficient for each sub-system to exchange information with other sub-systems. An iterative algorithm for networked MPC with ideal information model is developed for DCS. Finally, the simulation study of the fuel feed flow control for the walking beam reheating furnace is provided to test the effectiveness and practicality of the proposed networked MPC algorithm.

• Periodical: Advanced Materials Research (Volumes 482-484)
• Pages: 2485-2488
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.482-484.2485
• Online since: February 2012
• Authors: Yan Zhang
• Keywords: Exchange Information, Model Predictive Control (MPC), Network Optimization, Walking Beam Reheating Furnace

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