Research Of HVAC Control Strategy Based On Ant Colony Algorithm

At present, the energy conservation and indoor environment quality attention helped to push up the hvac control system for many, extensive research in this field, realize efficient operation, saving energy, high automation becomes one of the hot spot.. Hvac computer simulation is undoubtedly research air conditioning control and optimization operation scheme and effective way, and the accurate mathematical model is established hvac simulation research work foundation.This paper selects the 100MW solar photovoltaic technology project of air-conditioning systems and workshop clean areas for simulation objects, analyzed the hvac system clean areas the characteristics of various typical link is established, air conditioning system, mathematical model of the main steps. With hvac deduced mathematical model of main links, based in the with MATLAB simulation module library simulink.this is established by the simulation system model, the clean this simulation system model can simulate hvac control the operation of the system and its control characteristics of hvac system, the automatic control and further optimization laid a foundation.In HVAC control strategy choice, this paper selects the conventional PID control strategy and based on ant colony algorithm for hvac control strategy, the above two control strategy into simulation system for system simulation model, it is concluded that the corresponding conclusion.The simulation results show that the conventional PID control strategy in the simulation of hvac systems in operation and no show good control performance; Based on ant colony algorithm for hvac control strategy to conventional PID control method based on the PID control parameters in the related optimization, hvac control system simulation show in the operation of the better control performance.