Prognostics Enabled Resilient Control for Model-based Building Automation Systems

This paper proposes an intelligent Resilient Control Strategy (RCS) for Model based building control to improve the Building Automation System (BAS)’s performance against unanticipated adverse conditions or incidents such as model mismatch, weather disturbances, and component failures/ faults. The concept of resiliency of the BAS in terms of Quality of Control (QoC) is quantified and realized by the proposed RCS which make use of building operation data obtained from the BAS and the signals from the external sensors to provide an accurate analysis and intelligent control decisions under each operating condition. For building simulations, a cosimulation platform with run-time coupling of Matlab/Simulink and EnergyPlus is developed and used to verify the feasibility and effectiveness of the proposed control strategy.