变风量集中空调变静压广义预测自校正控制与节能技术研究
Variable static pressure self-tuning control and energy saving technologies in VAV central air conditioning system based on GPC algorithm
摘要：
分析了变风量集中空调系统的构成及特点，在实验平台上对定静压及变静压控制策略进行了能耗分析，结果表明变静压控制策略节能达12.86%。针对静压控制系统非线性、时变性及被控对象建模困难等特点，设计了广义预测自校正控制算法，在仿真实验的基础上，将其用于风系统变静压控制策略的实现。仿真及实验结果表明，该算法在具有较强跟踪及抗干扰能力的同时具有较大的节能潜力。
Abstract：
Analyses the constitution and the characteristics of the VAV air conditioning system, and compares the energy consumption of the constant static pressure control strategy with that of the variable static pressure control strategy on an experimental platform. The results show that the energy saving rate of variable static pressure control strategy can be up to 12.86%. In light of the nonlinear, time-varying features and difficulties in modeling the controlled object, designs a generalized predictive self-tuning algorithm, conducts the simulation and experiment, and employs the algorithm in the variable static pressure control system. The simulation and experimental results indicate that the algorithm has good performance of tracking and anti-interference as well as the greater energy saving potential.
Keywords:variable air volume (VAV), central air conditioning, variable static pressure, generalized predictive self-tuning control, energy saving