An Advanced Fractional Order Method for Temperature Control

Temperature control in buildings has been a highly studied area of research and interest since it affects the comfort occupants. Commonly, temperature systems like centralized air conditioning or heating work with fixed set point locally at thermostat, but users turn on off system when they feel is too hot cold. This configuration clearly not optimal terms energy consumption even thermal for users. Model predictive (MPC) widely used systems. In MPC design, objective function involves selection constant weighting factors. this study, fractional-order implemented, so factors are time-varying. Furthermore, we compared performance disturbance rejection Fractional-order (FOMPC) controllers. To end, have chosen building model from an EnergyPlus repository. The weather data needed calculations obtained as licensed file ASHRAE Handbook. acquired mathematical by employing Matlab identification toolbox simulation EnergyPlus. Next, designed several FOMPC controllers, including classical Subsequently, ran co-simulations controllers model. Finally, through numerical analysis indexes, controller showed its superiority against both reference tracking scenarios.