制冷技术2025，Vol.45Issue(5)：50-55,80,7.DOI:10.3969/j.issn.2095-4468.2025.05.202
基于神经网络模型反演的变频空调系统过热度自适应控制方法
Adaptive Control Method for Superheat of Variable Frequency Air Conditioning System Based on Neural Network Model Inversion
摘要
Abstract
Considering the operational instability of a variable frequency air conditioning system when it is variable speed operated,an adaptive superheat controller based on a neural network model is proposed in this paper.The proposed controller is developed based on the neural network-based system operational stability prediction model.Through predicting the operational stability under different operational conditions,the minimal stable superheat can be estimated.The experimental results showed that adaptive superheat controller based on a neural network model could automatically increase the superheat setting to mitigate the system instability,and at the same time maintaining the superheat setting at its minimal stable value.Compared to the traditional controller,3.4%improvement in operational efficiency could be achieved using the proposed superheat controller.关键词
变频空调系统/过热度控制/系统运行稳定性Key words
Variable frequency air conditioning system/Superheat control/Operational stability分类
通用工业技术引用本文复制引用
LIN Youbin,XIA Yudong,JIN Shibin,Xu Feihua..基于神经网络模型反演的变频空调系统过热度自适应控制方法[J].制冷技术,2025,45(5):50-55,80,7.基金项目
浙江省自然科学基金(No.LQ19E060007),浙江省重点研发计划(No.2020C01164). （No.LQ19E060007）
