基于神经网络模型的中央空调房间温度预测控制

HVAC Room Temperature Prediction Control Based on Neural Network Model

使用BP神经网络建立了中央空调房间神经网络模型,并对系统进行了预测控制.仿真实验表明,利用神经网络建立的系统预测模型鲁棒性强,跟踪能力好.同时,将预测控制选为中央空调房间温度控制器能很好地控制这种非线性系统.

A model of an HVAC system is built by using the BP neural network and the system is controlled by ageneralized predictive control method.The simulation experiment shows that the neural network prediction model is robustness and it has a good tracking capability;the generalized predictive control has been chosen as an excellent controller of this nonlinear system.