信息与控制2016，Vol.45Issue(6)：699-706,8.DOI:10.13976/j.cnki.xk.2016.0699
基于分布式状态空间模型预测控制的多级流程雁阵阵形调整
Multi-level Process Goose Queue Adjustment Based on Distributed State-space Model Predictive Control
韩放 1李宏光1
作者信息
- 1. 北京化工大学信息科学与技术学院,北京100029
- 折叠
摘要
Abstract
PGQ (process goose queue) is a novel approach to deal with the decomposition and coordination optimization of complex industrial processes.For the PGQ formation adjustment problem in the absence of process disturbance,we propose a predictive control algorithm based on a hierarchically distributed model.This is based on Hankel matrices of input and output data,and uses subspace identification to directly obtain impulse response sequences of the system for model predictive controller design.The alumina carbonation decomposition process is used as a case study to demonstrate the effectiveness of the proposed approach.关键词
流程雁阵/分布式模型预测控制/子空间辨识/脉冲响应序列/氧化铝碳酸化分解Key words
process goose queue/distributed model predictive control/subspace identification/impulse response sequence/alumina carbonation decomposition分类
信息技术与安全科学引用本文复制引用
韩放,李宏光..基于分布式状态空间模型预测控制的多级流程雁阵阵形调整[J].信息与控制,2016,45(6):699-706,8.
