【摘要】 针对变风量空调系统变量众多、耦合严重、多时滞等特点,提出基于改进型Butterworth滤波器的内模控制结构,实现系统的动态解耦。通过机理分析的结果结合实验平台测得的数据建立变风量空调系统的三阶耦合数学模型;采用内模控制结构对系统解耦,针对传统低通滤波器控制效果的不足设计改进型Butterworth滤波器;为了便于控制器的可实现,采用改进自适应遗传算法对模型降阶。实验结果表明,基于遗传的算法降阶的模型与原始模型高度匹配,解耦控制效果理想。更多还原

【Abstract】 Aiming at the characteristics of variable VAV air conditioning system,such as many variables,serious coupling and multiple time delay,an internal model control structure based on improved Butterworth filter was proposed to realize dynamic decoupling of the system.Through the results of the mechanism analysis and the data measured on the experimental platform,the three-order coupled mathematical model of air variable air conditioning system was established.The internal model control structure was used to decouple the system,and the improved Butterworth filter was designed for the shortage of the traditional low pass filter control effect.To facilitate the realization of the controller,the improved self-adaption genetic algorithm was used to reduce the order of the model.The results show that the reduced order model based on genetic algorithm is highly matched with the original model,and the effect of decoupling control is great.更多还原