应用于大型化工厂的无限地平线MPC和模型简化

IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE Pub Date : 2011-11-28 DOI:10.1109/LARC.2011.6086842

A. Márquez, C. Gomez, P. Deossa, J. Espinosa

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引用次数: 2

摘要

本文研究了无限视界模型预测控制(MPC)和Hankel范数模型约简在大型、复杂和网络化系统控制领域中感兴趣的化学过程中的应用。本文首先描述了由三个反应器和三个精馏塔组成的整个过程的模型。在此基础上，介绍了利用Hankel范数和无限地平线预测控制(Infinite Horizon model predictive Control, MPC)进行模型约简的主要方面，并利用数值线性化和模型约简得到的模型设计了集中式无限地平线模型预测控制(Infinite Horizon model predictive Control, MPC)。

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Infinite Horizon MPC and model reduction applied to large scale chemical plant

This paper studies the application of Infinite Horizon Model predictive Control (MPC) and model reduction by means of Hankel norm to chemical process of interest in the field of control of large, complex and networked systems. In this paper we first describes the model of the complete process which is composed by three reactors and three distillation columns. Later, we show the main aspects about model reduction by means of Hankel norm and Infinite Horizon MPC and finally the model obtained through numerical linearization and model reduction is used to design centralized Infinite Horizon Model predictive Control (MPC).

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IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE

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