流体机械

2020, v.48;No.576(06) 14-19

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一种自适应分段式电子膨胀阀控制策略研究
A Self-adaptive Segmented Control Strategy of Electronic Expansion Valve

张明;周智;周国鹏;金鹏;
Zhang Ming;Zhou Zhi;Zhou Guopeng;Jin Peng;Wuhan Textile University;Hubei Institute of Science and Technology;

摘要(Abstract):

传统空气能热泵控制系统为典型闭环系统,以蒸发器过热度为反馈变量,但热泵启动过程中过热度波动较大,造成系统调节时间长。针对此问题,本文提出自适应分段式控制策略,启动阶段以排气温度为反馈变量,避免过热度波动对系统的负面影响;稳定运行阶段采用基于最小稳定过热度的模糊控制器,提高系统能效比。以一台5P的空气能热泵机为试验平台,与常规过热度模糊控制器进行试验对比。试验结果表明,本文提出的自适应分段式控制策略启动调节时间缩短了300 s,超调量低至5%左右,制热量提高9%左右。
The traditional air-source heat pump control system is a typical closed-loop control system,it uses the superheat in evaporator as the feedback variable,but the fluctuation of superheat in the evaporator during the start-up is large,and easy to cause more adjusting time.To solve this problem,a segmented control strategy was proposed.The exhaust temperature was used as the feedback variable during the start-up to avoid the negative effect of superheat fluctuation on the system performance.The fuzzy controller based on the minimum stable superheat was used in the stable operation process to improve the system’s energy efficiency ratio.An experiment platform was built by a 5P air-energy heat pump.Experiments were carried out and compared with conventional fuzzy controller of superheat.The experimental results show that for the self-adaptive segmented control strategy,the startup adjusting time was shortened by 300 s,the overshoot was reduced to about 5%,and heating capacity was improvedby about 9%.

关键词(KeyWords): 自适应控制;空气能热泵;模糊控制;最小稳定过热度
self-adaptation control;air source heat pump;fuzzy control;minimum stable superheat

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基金项目(Foundation): 湖北省科学技术厅一般项目(206040327);; 湖北省优秀中青年科技创新团队项目(T201817)

作者(Author): 张明;周智;周国鹏;金鹏;
Zhang Ming;Zhou Zhi;Zhou Guopeng;Jin Peng;Wuhan Textile University;Hubei Institute of Science and Technology;

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