Hybrid Control of a Supermarket Refrigeration Systems

Hybrid Control of a Supermarket Refrigeration Systems
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超市制冷系统的混合控制

DOI:
10.1109/acc.2007.4282661
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发表时间:
2007
期刊:
2007 American Control Conference
影响因子:
--
通讯作者:
C. P. Moraga
C. P. Moraga
中科院分区:
--
文献类型:
--
作者:
D. Sarabia;F. Capraro;L. Larsen;C. P. Moraga

文献摘要

被引文献

相似文献

本文提出了超市制冷系统的非线性模型预测控制(NMPC)。这是一个混合过程,涉及切换非线性动力学和离散事件、开/关操纵变量(如阀门和压缩机)、连续受控变量(如货物温度)以及最后的几个操作约束。混合控制器基于事件发生时间的开/关控制信号参数化,而不是直接使用二进制值,这样,我们可以将优化问题重新表述为 NLP 问题。展示了丹佛斯提供的真实超市制冷系统的严格模型以及混合控制器在其上运行的结果。本文描述了混合过程,提出了控制问题的公式,并提供了所提出方法的一些结果以及与传统控制的比较。
This paper presents a non-linear model predictive control (NMPC) of a supermarket refrigeration system. This is a hybrid process involving switching nonlinear dynamics and discrete events, on/off manipulated variables, like valves and compressors, continuous controlled variables like goods temperatures and finally, several operation constraints. The hybrid controller is based on a parameterization of the on/off control signals in terms of time of occurrence of events instead of using directly binary values, on this way, we can reformulate the optimization problem as a NLP problem. A rigorous model of a real supermarket refrigeration system provided by Danfoss is presented as well as results of the hybrid controller operating on it. The paper describes the hybrid process, presents the control problem formulation and provides some results of the proposed approach and comparisons with the traditional control.