Identification and iterative learning control for building systems : a data-driven approach
Authors
Minakais, Matthew
ORCID
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Other Contributors
Wen, John T.
Mishra, Sandipan
Julius, Anak Agung
Kar, Koushik
Mishra, Sandipan
Julius, Anak Agung
Kar, Koushik
Issue Date
2018-05
Keywords
Electrical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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.
Description
May 2018
School of Engineering
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
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