Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems

Tumin Wu; Mohammed M. Olama; Seddik M. Djouadi

doi:10.1109/ISGT-LA56058.2023.10328275

Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems

Tumin Wu, Mohammed M. Olama, Seddik M. Djouadi

Computational Systems Engineering and Cy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Model reference adaptive control (MRAC) has been studied for decades and successfully applied in multiple areas, including heating, ventilation, and air conditioning (HVAC) systems for buildings. MRAC is efficient in capturing the time-varying characteristics of buildings' indoor temperatures and outdoor weather environments. In this paper, the rate of convergence of MRAC is investigated, where a direct adaptive control with temperature set point reference tracking is used to regulate the indoor temperatures for buildings. Numerical results show that by controlling the HVAC systems of residential buildings using MRAC, the indoor temperatures converge Q-sublinearly to the desired temperature set points. In addition, the rate of convergence for MRAC is compared with a baseline adaptive model-free control method.

Original language	English
Title of host publication	2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	110-114
Number of pages	5
ISBN (Electronic)	9798350336962
DOIs	https://doi.org/10.1109/ISGT-LA56058.2023.10328275
State	Published - 2023
Event	2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States Duration: Nov 6 2023 → Nov 9 2023

Publication series

Name	2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023

Conference

Conference	2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Country/Territory	United States
City	San Juan
Period	11/6/23 → 11/9/23

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Building Technologies Office under contract DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
U.S. Department of Energy
Building Technologies Office	DE-AC05-00OR22725

Access to Document

10.1109/ISGT-LA56058.2023.10328275

Cite this

Wu, T., Olama, M. M., & Djouadi, S. M. (2023). Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems. In 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 (pp. 110-114). (2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-LA56058.2023.10328275

Wu, Tumin ; Olama, Mohammed M. ; Djouadi, Seddik M. / Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems. 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 110-114 (2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023).

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title = "Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems",

abstract = "Model reference adaptive control (MRAC) has been studied for decades and successfully applied in multiple areas, including heating, ventilation, and air conditioning (HVAC) systems for buildings. MRAC is efficient in capturing the time-varying characteristics of buildings' indoor temperatures and outdoor weather environments. In this paper, the rate of convergence of MRAC is investigated, where a direct adaptive control with temperature set point reference tracking is used to regulate the indoor temperatures for buildings. Numerical results show that by controlling the HVAC systems of residential buildings using MRAC, the indoor temperatures converge Q-sublinearly to the desired temperature set points. In addition, the rate of convergence for MRAC is compared with a baseline adaptive model-free control method.",

author = "Tumin Wu and Olama, {Mohammed M.} and Djouadi, {Seddik M.}",

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doi = "10.1109/ISGT-LA56058.2023.10328275",

language = "English",

series = "2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023",

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Wu, T, Olama, MM & Djouadi, SM 2023, Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems. in 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023. 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 110-114, 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023, San Juan, United States, 11/6/23. https://doi.org/10.1109/ISGT-LA56058.2023.10328275

Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems. / Wu, Tumin; Olama, Mohammed M.; Djouadi, Seddik M.
2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 110-114 (2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems

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AU - Olama, Mohammed M.

AU - Djouadi, Seddik M.

PY - 2023

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N2 - Model reference adaptive control (MRAC) has been studied for decades and successfully applied in multiple areas, including heating, ventilation, and air conditioning (HVAC) systems for buildings. MRAC is efficient in capturing the time-varying characteristics of buildings' indoor temperatures and outdoor weather environments. In this paper, the rate of convergence of MRAC is investigated, where a direct adaptive control with temperature set point reference tracking is used to regulate the indoor temperatures for buildings. Numerical results show that by controlling the HVAC systems of residential buildings using MRAC, the indoor temperatures converge Q-sublinearly to the desired temperature set points. In addition, the rate of convergence for MRAC is compared with a baseline adaptive model-free control method.

AB - Model reference adaptive control (MRAC) has been studied for decades and successfully applied in multiple areas, including heating, ventilation, and air conditioning (HVAC) systems for buildings. MRAC is efficient in capturing the time-varying characteristics of buildings' indoor temperatures and outdoor weather environments. In this paper, the rate of convergence of MRAC is investigated, where a direct adaptive control with temperature set point reference tracking is used to regulate the indoor temperatures for buildings. Numerical results show that by controlling the HVAC systems of residential buildings using MRAC, the indoor temperatures converge Q-sublinearly to the desired temperature set points. In addition, the rate of convergence for MRAC is compared with a baseline adaptive model-free control method.

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Wu T, Olama MM, Djouadi SM. Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems. In 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 110-114. (2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023). doi: 10.1109/ISGT-LA56058.2023.10328275

Convergence Rate of Model Reference Adaptive Control with Application to Building HVAC Systems

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