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HVAC systems require a control system to keep the comfort level and air quality relatively constant with variable conditions.

However, heating and cooling loads typically change according to the exterior environment, as well as with the specific needs of the users. IntroductionĪ main aim in developing an optimal HVAC (heating, ventilation, and air-conditioning) system is to create a comfortable environment for occupants with reduced energy inputs ‎. After utilizing the MATLAB identification toolbox, a MIMO system-based state space model is developed. The main aim is to develop a state feedback controller and then apply it toward optimal functionality of a control system. By comparing usage data on simulated power consumption versus measured data for the three months of October, November, and December 2016, good agreement was achieved with simulated data. The factors of wind direction and velocity are also applied as disturbances. The system’s eight main input data are hot water and the energy usage for each AHU, while the eight main outputs are return airflow temperature and CO 2 levels for AHUs. The building has four floors in total, with separate air-handling units (AHUs) on each floor. Thermal models are developed using the simulation program IDA Indoor Climate and Energy. A HVAC system is modeled by applying a state space MIMO (multi-input/multioutput) system method for control system design and analysis.