In this paper, modeling has been applied to a heating, ventilating, and air-conditioning (HVAC) system by taking a multivariable autoregressive (AR) model into account using observed data and a simple three input /two output model for implementation of a new practical optimal control. The preview control, which is a linear quadratic Gaussian (LQG) optimal control with feedforward compensation, has been applied to control process variables such as indoor temperature and indoor humidity. To evaluate the control performance, a comparison has been made between the preview control and ordinary LQG control. The experiments on a commercial-sized test plant suggest that the preview control enables an improvement tracking property for a reference input in the transient state and also guarantees the global stability in steady state for the HVAC system.

Units: SI