论文部分内容阅读
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。
The composition and characteristics of the VAV air conditioning system are analyzed. The energy consumption analysis of the static pressure and variable static pressure control strategy is carried out on the experimental platform. The results show that the variable static pressure control strategy can save energy by 12.86%. In view of the nonlinearity, time-varying nature of the static pressure control system and the difficulty of modeling the controlled object, a generalized predictive self-tuning control algorithm is designed. Based on the simulation experiment, this method is used to realize the variable static pressure control strategy of the wind system. Simulation and experimental results show that the proposed algorithm has great potential for energy saving while having strong tracking and anti-interference ability.