A Switching Event-Triggered Model Predictive Control for HVAC Systems

Mojtaba Sharifzadeh, Hani Beirami, Federico Bonafini, Matteo Campidelli, Roberto Cavada, Alessandro Cimatti, Stefano Tonetta

2024

Abstract

Heating, ventilation, and air conditioning (HVAC) systems have great potential for energy savings and integration with green energy sources. Advanced control of these systems could play a key role in optimizing consumption while enhancing efficiency and performance. In this paper, a new model-based methodology is proposed for real-time control of the compressor in HVAC systems, based on switching event-triggered model predictive control. The approach manages the switch among different operational modes and provides the possibility to set different constraints to be optimized, enabling a multivariable scheme. It also applies the latest model-based design standards derived from the AUTOSAR framework to adapt them for an HVAC platform that offers substantial technical value, while also preserving the model-based design structure for improved lifecycle management. The models used for the controller in each modality are developed through the system identification standards and validated using data acquired from the air-water heat pumps in the test field. The effectiveness and performance of the control approach are also demonstrated through Model-in-the-Loop (MIL) testing.

Paper Citation

in Harvard Style

Sharifzadeh M., Beirami H., Bonafini F., Campidelli M., Cavada R., Cimatti A. and Tonetta S. (2024). A Switching Event-Triggered Model Predictive Control for HVAC Systems. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 37-45. DOI: 10.5220/0012912400003822

in Bibtex Style

@conference{icinco24,
author={Mojtaba Sharifzadeh and Hani Beirami and Federico Bonafini and Matteo Campidelli and Roberto Cavada and Alessandro Cimatti and Stefano Tonetta},
title={A Switching Event-Triggered Model Predictive Control for HVAC Systems},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={37-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012912400003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Switching Event-Triggered Model Predictive Control for HVAC Systems
SN - 978-989-758-717-7
AU - Sharifzadeh M.
AU - Beirami H.
AU - Bonafini F.
AU - Campidelli M.
AU - Cavada R.
AU - Cimatti A.
AU - Tonetta S.
PY - 2024
SP - 37
EP - 45
DO - 10.5220/0012912400003822
PB - SciTePress