空调机组性能的神经网络模型及辨识

Identification of Neural - network Model of Air - conditioning Unit' s Performance

以KLD40型铁路客车单元式空调机组为研究对象,在一定工况范围内建立了空调机组制冷量、电流等性能参数的神经网络模型。经检验,模型的计算结果与试验数据相吻合。此模型可作为任意工况下空调机组性能试验结果评价的参考依据,对空调机组的设计选型也有一定的参考价值。

This paper establishes the Neural - networks models of KLD40 train packaged air - conditioning unit' s refrigeration capacity and current, which is suit for a definite work condition. The checkout result indicates that the outcome of models is inosculated with the experiments data. The outcome of the model can be used for a reference gist to evaluate the experiment result of air - conditioning under random condition, and also can be used for a reference to design air- conditioning unit.