Research on chilled water pressure difference of the model reference adaptive control

Abstract

Air-conditioning system chilled water pressure difference is a time-varying complicated nonlinear system, using the conventional PID control loop is difficult to achieve good control quality. According to the actual control requirements, puts forward the RBF neural network model reference adaptive control strategy, design the chilled water pressure difference control system. It use the RBF neural network controller and DRNN network model identification parameter learning algorithm. The simulation results show that this control strategy has good effect, it can achieve control requirements better. © 2013 Springer-Verlag Berlin Heidelberg.