改进型迭代学习算法在空调静压控制中的应用

Application of Improved Iterative Learning Algorithm in Static Pressure Control of Air Conditioning

为优化空调系统的变静压控制效果,此文以变风量空调系统中变频风机--管道静压回路为研究对象,用系统辨识方法对其建立数学模型,并用模糊增益PD型迭代学习控制算法和PID型迭代学习控制算法分别对所建立的模型进行仿真与实验研究,结果表明模糊增益PD型迭代学习控制算法对变静压控制有较好的控制效果。

In order to optimize the effect of the variable static pressure control in air conditioning system, this paper takes the frequency fan-pipe hydrostatic loop in the variable air volume air conditioning system as the research object, and uses the system identification method to establish the mathematical model, and uses Fuzzy gain PD type iterative learning control algorithm and PID type iterative learning control algorithm to the model to do the simulation and experiment. The result shows that the Fuzzy gain PD type iterative learning control algorithm has a better control effect to the variable static pressure control in the system.