Multivariable Control of a Heat Pump System Based on a Local Linear Model Network

R. Clauss, Thomas Pursche, B. Tibken
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Abstract

The present work describes a control concept of a heat pump system using stable local linear model network. We have already shown in [1] that this model structure can be used to identify the refrigerant circuit module (RCM) with a high model quality. The RCM is a coupled constrained nonlinear multi-input multi-output (MIMO) system. Accordingly, we use a constrained model predictive controller (CMPC), which receives the optimal linear transfer functions of the system depending on the operating point via the local network. The presented concept was verified on an air/water heat pump for which a flow temperature control was implemented.
基于局部线性模型网络的热泵系统多变量控制
本文描述了一种用稳定局部线性模型网络控制热泵系统的概念。我们已经在[1]中表明,该模型结构可用于识别具有高模型质量的制冷剂回路模块(RCM)。RCM是一种耦合约束非线性多输入多输出(MIMO)系统。因此,我们使用约束模型预测控制器(CMPC),该控制器通过局部网络接收系统根据工作点的最优线性传递函数。所提出的概念在一个空气/水热泵上得到了验证,该热泵实现了流量温度控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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