首页|面向变流量空调系统在线解耦控制的自适应调控策略

面向变流量空调系统在线解耦控制的自适应调控策略

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由于空调系统的运行工况复杂多变、不确定性较高,因此在系统质-量参数的解耦调控过程中,传统的周期调控策略很难针对随机负荷波动做出及时响应,导致系统实际的解耦控制效果并不理想.为此,本文提出一种基于事件驱动的解耦控制方法以提升系统全局性能表现.该方法通过对影响系统性能表现的关键参数进行辨识,并综合考虑系统中质-量参数的动态响应特性,在恰当的优化时机下对系统各控制回路的设定值进行适量地调节,实现全局优化调控.实验结果表明,相比于传统的周期控制策略,该方法在工况适应性、解耦和控制效果方面都具有显著优势,同时可节省约3.4%的耗电量.
Adaptive Control Strategy for the Online Decoupling Control of the Variable Flow Rate HVAC System
The heating,ventilation,and air conditioning(HVAC)system operates under complex conditions with high uncertainty.During the decoupling control of system quality-quantity parameters,traditional periodic control strategies struggle to respond promptly to random load variations,resulting in suboptimal decoupling control effect.Therefore,this paper proposed an event-driven decoupling control strategy to improve the overall control performance of the system.This method identifies the key parameters that affect system performance and comprehensively considers the dynamic response characteristics of system quality-quantity parameters,which can reset the setpoints of control loops at appropriate time to achieve global optimization control.In comparison with the conventional strategy experimentally,the proposed strategy has significant advantages in terms of operating conditions adaptability,decoupling and control effect,and can also save approximately 3.4%of electricity consumption.

HVAC systemdecoupling controlglobal optimizationdynamic response characteristicoptimization timing

王佳明、赵天怡

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大连理工大学,辽宁大连 116024

安徽建筑大学智能建筑与建筑节能安徽省重点实验室,安徽 合肥 230009

空调系统 解耦控制 全局优化 动态响应特性 优化时机

2024

建筑科学
中国建筑科学研究院

建筑科学

CSTPCD北大核心
影响因子:1.113
ISSN:1002-8528
年,卷(期):2024.40(12)