Identification and iterative learning control for building systems : a data-driven approach

Abstract

For experimental valuation, we have designed, built, and instrumented a unique test facility. This intelligent building testbed was created to serve as a standardized platform for building modeling and control evaluation. Key features include wireless control and sensing of temperature, humidity, energy, and solar effects; and a modular structure with multiple zones and adjustable thermal and mass coupling. A key feature of this testbed is its placement inside a thermally-controlled enclosure, which can generate repeatable conditions. Simulation and experimental evaluations of the proposed modeling and control methods show improved setpoint tracking.