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Design of Model-Based Optimizing Control Scheme for an Air-Conditioning System

机译:基于模型的空调系统优化控制方案设计

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This paper presents a model-based feedback control scheme for energy minimization in an air-conditioning system to maintain a desired level of thermal comfort. The proposed control scheme consists of two layers of control - setpoint optimizing control and dynamical optimizing control. In setpoint optimizing control, the optimum setpoints for dry-bulb temperature, relative humidity and relative velocity of air, evaporator pressure, and condenser pressure are computed on-line under operational and performance constraints of the system. Dynamical optimizing control deals with the design of centralized continuous control based on output feedback to track the optimum setpoints. This control law is designed for the complete dynamical system, i.e., the refrigeration circuit and air circuit simultaneously. The constraints on control inputs were also considered while designing the proposed optimizing control scheme, which has been validated on an air-conditioning unit provided in an Indian Railway passenger coach. The result shows that the proposed control scheme saves substantial energy as compared to the constant-setpoints-based control scheme to maintain the same level of thermal comfort.
机译:本文提出了一种基于模型的反馈控制方案,以使空调系统中的能量最小化,以保持所需的热舒适度。所提出的控制方案包括两层控制-设定点优化控制和动态优化控制。在设定点优化控制中,根据系统的运行和性能约束,可以在线计算干球温度,相对湿度和空气的相对速度,蒸发器压力和冷凝器压力的最佳设定点。动态优化控制处理基于输出反馈来跟踪最佳设定点的集中式连续控制的设计。该控制律是为完整的动力系统设计的,即同时制冷回路和空气回路。在设计建议的优化控制方案时,还考虑了对控制输入的约束,该方案已在印度铁路客车的空调装置上得到了验证。结果表明,与基于恒定设定点的控制方案相比,所提出的控制方案可节省大量能源,以保持相同水平的热舒适性。

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