VCC系统过热度的迭代学习控制器

Xiaohong Yin, Xinli Wang, Ximei Liu, R. Chi, Mingming Lin, Fanglin Liu
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引用次数: 0

摘要

空调系统在人们的日常生活中发挥着不可或缺的作用,它能为人们提供舒适健康的居住环境。蒸汽压缩机制冷循环(VCC)系统是暖通空调系统的核心循环之一,产生制冷效果。本研究针对VCC系统提出一种迭代学习控制策略。首先,采用系统辨识的最小二乘法得到数据驱动模型;此外,为了使VCC系统的过热度保持在安全水平,设计了一种ILC控制器。最后,通过仿真验证了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Iterative Learning Controller for Superheat Degree of VCC System
The air-conditioning system has played an indispensable role in daily life, which can provide a comfortable and healthy residential environment for people. The vapor compressor refrigeration cycle (VCC) system, one of the core cycles of HVAC system, produces a cooling effect. In this research, an iterative learning control (ILC) strategy is proposed for the VCC system. In the first place, the least-square method of system identification has been adopted to obtain a data driven model. Moreover, in order to hold superheat degree of VCC system on a safe level, an ILC controller is developed. Finally, a simulation is provided to test the validity of the proposed controller.
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