IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
CCP-Based Plant-Wide Optimization and Application to the Walking-Beam-Type Reheating Furnace
Yan ZHANGHongyan MAO
Author information
JOURNAL FREE ACCESS

2016 Volume E99.D Issue 9 Pages 2239-2247

Details
Abstract

In this paper, the integration of dynamic plant-wide optimization and distributed generalized predictive control (DGPC) is presented for serially connected processes. On the top layer, chance-constrained programming (CCP) is employed in the plant-wide optimization with economic and model uncertainties, in which the constraints containing stochastic parameters are guaranteed to be satisfied at a high level of probability. The deterministic equivalents are derived for linear and nonlinear individual chance constraints, and an algorithm is developed to search for the solution to the joint probability constrained problem. On the lower layer, the distributed GPC method based on neighborhood optimization with one-step delay communication is developed for on-line control of the whole system. Simulation studies for furnace temperature set-points optimization problem of the walking-beam-type reheating furnace are illustrated to verify the effectiveness and practicality of the proposed scheme.

Content from these authors
© 2016 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top