| Title |
A Study of Optimum Control in Building HVAC System using Reinforce Signal |
| Keywords |
건물자동화 시스템 ; 비례적분제어 ; 강화학습 ; 최적제어 ; 자동동조 PI control ; Reinforcement learning ; Optimal control ; Auto-tuning ; Building automation system |
| Abstract |
Technology on the proportional integral(PI) control have grown rapidly owing to the needs for the robust capacity of the controllers from industrial building sectors. However, PI controller requires tuning of gains for optimal control when the outside weather condition changes. The present study presents the possibility of reinforcement learning(RL) control algorithm with PI controller adapted in the HVAC system. The optimal design criteria of RL controller was proposed in the Environment Chamber experiment and a theoretical analysis was also conducted using TRNSYS program. |