Optimal control on VAV air conditioning systems

In the variable air volume air conditioning system, proposes an optimization control method of static pressure to reduce energy consumption and effectively control. Determines the minimum static pressure set-point according to the opening of the terminal valve. Optimizes neural network using the particle swarm optimization algorithm, adjusts three parameters of PID controller and makes the static pressure close to the set value through the adjustment of frequency conversion fan by PID controller. Verifies this method by the simulation and experiments. The results show that the terminal valve is in a larger opening, which can reduce the fan operating frequency, and improve the control quality and precision when meeting the load demand. It not only effectively saves energy, but also has strong robustness.