Abstract:
In both commercial and residential buildings, Direct Expansion (DX) air conditioning (AC)
systems widely used, as they are simple in configuration, low maintenance cost and more energy
efficient than chilled water-type air conditioning (AC) system in which first water is cooled, then
this cold water is used to cool the desired room air. In this research the nonlinear dynamic model
of the Direct Expansion (DX) air conditioning (AC) is presented. The nonlinear mathematical
model is linearized and then discretized. The discrete state space model is used to design the
model predictive control (MPC). Using the variable compressor and volumetric air flow rate as
inputs, the model predictive control can effectively control both conditioned room temperature
and humidity simultaneously. The simulations are performed in the MATLAB/Simulink. The
results demonstrate the efficiency of the predictive control of the proposed model for MIMO
DX AC.
