Economic Tube-based Robust Model Predictive Control for HAVC System

Comfort and energy efficiency are paramount in contemporary building management. The efficient operation of heating, ventilation, and air conditioning (HVAC) systems is vital for energy savings and emission reduction in HAVC system. This paper proposes an economical tube-based robust model predictive control (RMPC) strategy for HVAC systems. Initially, static optimization is employed to determine the system's optimal state and input and the results were used as the tracking objective of MPC to minimize energy consumption. Subsequently, within the tube-based RMPC framework, the robust positive invariant set and constraint tightening are computed considering external disturbances, and the control rate is provided. The results indicate that this control strategy has strong adaptability to dynamic external disturbances, and can significantly reduce energy consumption while maintaining system stability.