Authors:
Mojtaba Sharifzadeh
1
;
Hani Beirami
1
;
Federico Bonafini
2
;
Matteo Campidelli
2
;
Roberto Cavada
1
;
Alessandro Cimatti
1
and
Stefano Tonetta
1
Affiliations:
1
Fondazione Bruno Kessler, 38123, Trento, Italy
;
2
Innova Engineering S.r.l. 38079, Tione di Trento, Italy
Keyword(s):
Event-Triggered MPC, HVAC, Modeling, System Identification, Switching Control.
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 u
sing 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.
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