Application of RBF recursion neural network to heat supply decoupling control

According to the coupling characteristics in heat supply process and the demands of energy saving control, proposes a novel heat supply decoupling method based on radial basis function (RBF) recursion neural network. By establishing the heating coupling system model with typical signal response and least-square method, applies the RBF current neural network to eliminating the strong influence between quality-adjust and quantity-adjust channels. The simulation result shows that this method has a good decoupling performance and can meet the demands of multi-loop control of heating system.