Model-Free Control of Indoor Temperatures in Residential Buildings: Convergence Analysis

Conference · Mon Apr 01 04:00:00 EDT 2024

DOI:https://doi.org/10.1109/PECI61370.2024.10525244· OSTI ID:2371097

Wu, Tumin ^[1]; Olama, Mohammed M. ^[2]; Djouadi, Seddik ^[1]

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1. University of Tennessee, Knoxville (UTK)
2. ORNL

Model-free control (MFC) has recently been applied in multiple fields, including indoor air temperature regulation in buildings. It is a data-enabled feedback tracking control strategy for complex systems using a simplified representation of the ultra-local approximation model through the unique information of input-output behavior. MFC is a prevailing control strategy for systems with unknown or poorly known system dynamic models. Thus, it is a relatively simple, but efficient, trajectory tracking controller. In this paper, we investigate the convergence rate of MFC when applied to controlling indoor temperatures in residential buildings subject to outdoor weather disturbances. Numerical results show that MFC is quite robust to external disturbances, and its rate of convergence is almost one, i.e., it converges Q-sublinearly (slower than linearly).

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2371097
• Country of Publication: United States
• Language: English