Switching predictive controller for building ...
Document type :
Communication dans un congrès avec actes
Title :
Switching predictive controller for building optimal thermal comfort
Author(s) :
Rajaoarisoa, Lala [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Benzaama, M-H. [Auteur]
École Supérieure d'ingénieurs des Travaux de la Construction [ESITC Caen]
M'Sirdi, N. K. [Auteur]
Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) [LIS]
Clavier, Laurent [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Sayed-Mouchaweh, Moamar [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Benzaama, M-H. [Auteur]
École Supérieure d'ingénieurs des Travaux de la Construction [ESITC Caen]
M'Sirdi, N. K. [Auteur]
Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) [LIS]
Clavier, Laurent [Auteur]

Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Sayed-Mouchaweh, Moamar [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Conference title :
30th Mediterranean Conference on Control and Automation (MED 2022)
City :
Vouliagmeni
Country :
Grèce
Start date of the conference :
2022-06-28
Publisher :
IEEE
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
To make buildings more energy efficient, building owners or managers are looking for ways to reduce the energy consumption of equipment such as heating, ventilation and air conditioning (HVAC). In this context, this paper ...
Show more >To make buildings more energy efficient, building owners or managers are looking for ways to reduce the energy consumption of equipment such as heating, ventilation and air conditioning (HVAC). In this context, this paper deals with the synthesis and design of switching predictive HVAC controllers exploiting a data-driven output feedback controller for a class of complex nonlinear systems. The system is approximated by a set of linear polynomial models, which is reduced to an auto regressive with exogenous terms model. Data from the internet of things devices are used to feed the controller. It will also be used for partitioning the output space into different operating regions and interpolation regions. Based on this partition, a novel piecewise optimal predictive controller (pw-OPC) with affine terms via optimal output feedback is designed. We give some conditions to verify the feasibility of the technique and the stabilizability of this class of controller. We then check its effectiveness experimentally by applying it to control the heating systems of a student residence. We will compare it with other existing controllers such as an optimal output-feedback controller and an optimal predictive controller to determine its performance. The results prove that the pw-OPC gives good results in terms of thermal comfort and energy savings.Show less >
Show more >To make buildings more energy efficient, building owners or managers are looking for ways to reduce the energy consumption of equipment such as heating, ventilation and air conditioning (HVAC). In this context, this paper deals with the synthesis and design of switching predictive HVAC controllers exploiting a data-driven output feedback controller for a class of complex nonlinear systems. The system is approximated by a set of linear polynomial models, which is reduced to an auto regressive with exogenous terms model. Data from the internet of things devices are used to feed the controller. It will also be used for partitioning the output space into different operating regions and interpolation regions. Based on this partition, a novel piecewise optimal predictive controller (pw-OPC) with affine terms via optimal output feedback is designed. We give some conditions to verify the feasibility of the technique and the stabilizability of this class of controller. We then check its effectiveness experimentally by applying it to control the heating systems of a student residence. We will compare it with other existing controllers such as an optimal output-feedback controller and an optimal predictive controller to determine its performance. The results prove that the pw-OPC gives good results in terms of thermal comfort and energy savings.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :