一种用于调控高温热泵负荷的方法及仿真

为了使高温热泵输出负荷与用户所需负荷相匹配，尝试将一种神经网络预测器用于热泵系统的负荷调控之中。首先，根据实验数据训练并得到一种多输入、单输出的热泵系统参数神经网络模型；然后，将该模型结合一种双输入、单输出的温度模糊控制器构成神经网络顸洲器；并针对两种不同形式的外扰（环境温度和用户要求的改变），制定了智能控制策略；最后，对该预测器进行了仿真研究，证明了该控制策略的合理性。

Intelligent Control Method and Simulation of Heat Load of High Temperature Heat Pumps

In order to match two loads,which are high temperature heat pump's output and consumer's requirement,a neural net predictor was proposed and used in control system of heat pump.Firstly,for simulating heat pump system,the experimental data were used to train a model of neural net,and than a single output and multi-input model was obtained.Secondly,a two-input and single output temperature controller and the model constitute the predictor.According to two sort external interferences(ambient temperature and consumer's requirement),the intelligent controlling strategy was proposed.Lastly,a simulation was carried out to prove the strategy correctness.