A novel adaptive energy-efficient controller for the HVAC systems

In order to improve energy efficiency of the Heating, Ventilating, and Air-Conditioning (HVAC) systems, we study the multi-variable nonlinear adaptive control algorithms of temperature and humidity to achieve energy-saving optimal control in HVAC systems. Firstly the global energy management multi-variable nonlinear system model is established. The system internal dynamics relation between temperature and humidity is analyzed. Then the nonlinear adaptive backstepping control algorithms are analyzed and designed, and then the adaptive robust controller is built. So the Lyapunov stability of the closed-loop system is realized. The temperature and humidity in HVAC systems are optimized to control. The system satisfies the maximum comfort while saves energy. Finally the simulation results verify the effectiveness and feasibility of the designed control strategy.