Research on humidity control of building air conditioning based on iterative learning
The traditional control method of variable air volume(VAV)air conditioning in buildings has high requirements for the accuracy of the mathematical model of the controlled system and weak anti-interference a-bility,which limits the application of VAV air conditioning systems.In order to solve the problems of repeated interference and system model accuracy in the operation of the VAV building air conditioning system,the iter-ative learning control method is used to control the air humidity of the VAV air conditioning system.The air conditioning process of VAV air conditioning is regarded as an intermittent process,and the indoor space hu-midity control process is regarded as an intermittent process to track the target trajectory.Iterative learning controller is designed to enable the controlled system to obtain better accuracy and robustness,and achieve high-precision humidity trajectory tracking of VAV air conditioning.
variable air volume air conditioninghumidity controliterative learning controlrepetitive inter-ference
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