VAV Terminal Unit Control Based on T-S Model with the Generalized Predictive Control

Nonlinear, large delay and time-varying are the main features of VAV air-conditioning and the object controlled models are uncertain. So it is difficult for PID controller to achieve an ideal control effect due to those features. In order to prove the VAV control stability and ensure indoor comfort, the T-S model with the generalized predictive control is applied to the control of VAV. Firstly, the VAV system of T-S model is identified by fuzzy clustering method and least square method, and the linear model is gotten, and it is controlled by the generalized predictive, the results show that this method has a very good control effect.