室外空气流量、建筑静压和送风管道静压作为控制变量，通过调节送风机和回风机的速度以及空气处理机组（AHU）中室外、再循环和减压空气挡板的位置来维持。实际上，为了将独立的控制输入与受控变量相匹配，三个风门完全或部分互连，从而形成五种风门控制策略:三个风门互连的传统策略，在室外空气（OA）风门完全打开的情况下重叠和顺序策略，以及重叠和顺序策略。目前，阻尼器控制策略仅基于风扇进行评估- 能量表现。事实上，AHU系统配置了一个具有可变系统增益和交互干扰输入的非线性网络。由此产生的控制问题可能会降低能源性能。本文采用非线性网络方法对空气处理机组进行了稳态仿真，研究了五种阻尼器控制策略的风机能量和控制性能。室外空气挡板完全打开的顺序策略具有最佳的能量性能，与传统策略相比功率降低4%，但控制性能差得多，室外气流控制增益变化率高达8.9。另一方面，传统的控制策略在室外气流控制小得多的情况下具有最佳的控制性能- 增益变化率为2.1。室外气流控制增益的较大变化可能会导致受控设定点和实际时间响应之间的严重偏差，从而导致设备劣化和潜在能量损失。因此，建议考虑控制性能退化，以确定最佳OA阻尼器控制策略。引文:伊利诺伊州芝加哥ASHRAE交易——第121卷第1部分

Outdoor airflow rate, building static pressure, and supply air- duct static pressure, as controlled variables, are maintained by modulating the speed of the supply and return fans and the position of the outdoor, recirculating, and relief-air dampers in an air-handling unit (AHU). Practically, the three dampers are interlinked completely or partially in order to match independent control inputs with controlled variables and, consequently, form five damper control strategies: the traditional strategy with three dampers interlinked, overlapping and sequenced strategies with the outdoor-air (OA) damper fully open, andASHRAE overlapping and sequenced strategies. Currently, damper control strategies are evaluated based solely on fan-energy performance. In fact, AHU systems configure a nonlinear network with variant system gains and interactive disturbance inputs. Resultant control issues may degrade energy performance. In this paper, both the fan energy and control performanceof five damper control strategies are investigated through steady-state simulation on an AHU using a nonlinear network solution. The sequenced strategy with the outdoor-air damper fully open has the best energy performance, with 4% power reduction over the traditional strategy, but has much worse control performance, with a large outdoor airflow control-gain variation ratio up to 8.9.Onthe other hand, the traditional strategy has the best control performance with a much smaller outdoor airflow control-gain variation ratio of 2.1. Large outdoor airflow control-gain variations can result in serious deviation between controlled setpoint and actual time response, which leads to equipment deteriorations and potential energy penalties. Therefore, it is recommended that control performance degradation needs to be considered in order to determine the optimal OA damper control strategy.