Performance Analysis of Data-Driven and Model-Based Control Strategies Applied to a Thermal Unit Model

C. Turhan, S. Simani, Ivan Zajic, G.G. Akkurt

Research output: Contribution to journalArticle

5 Citations (Scopus)
17 Downloads (Pure)

Abstract

The paper presents the design and the implementation of different advanced control strategies that are applied to a nonlinear model of a thermal unit. A data-driven grey-box identification approach provided the physically–meaningful nonlinear continuous-time model, which represents the benchmark exploited in this work. The control problem of this thermal unit is important, since it constitutes the key element of passive air conditioning systems. The advanced control schemes analysed in this paper are used to regulate the outflow air temperature of the thermal unit by exploiting the inflow air speed, whilst the inflow air temperature is considered as an external disturbance. The reliability and robustness issues of the suggested control methodologies are verified with a Monte Carlo (MC) analysis for simulating modelling uncertainty, disturbance and measurement errors. The achieved results serve to demonstrate the effectiveness and the viable application of the suggested control solutions to air conditioning systems. The benchmark model represents one of the key issues of this study, which is exploited for benchmarking different model-based and data-driven advanced control methodologies through extensive simulations. Moreover, this work highlights the main features of the proposed control schemes, while providing practitioners and heating, ventilating and air conditioning engineers with tools to design robust control strategies for air conditioning systems
Original languageEnglish
Article number67
JournalEnergies
Volume10
Issue number1
DOIs
Publication statusPublished - 7 Jan 2017

Fingerprint

Model-based Control
Data-driven
Data Model
Performance Analysis
Control Strategy
Conditioning
Unit
Air conditioning
Nonlinear Model
Disturbance
Benchmark
Uncertainty Modeling
Model
Continuous-time Model
Methodology
Air
Benchmarking
Robust Control
Measurement Error
Heating

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Keywords

  • modelling and simulation for control
  • advanced control design
  • model-based and data-driven approaches
  • artificial intelligence
  • thermal unit nonlinear system

Cite this

Performance Analysis of Data-Driven and Model-Based Control Strategies Applied to a Thermal Unit Model. / Turhan, C.; Simani, S.; Zajic, Ivan; Akkurt, G.G.

In: Energies, Vol. 10, No. 1, 67, 07.01.2017.

Research output: Contribution to journalArticle

Turhan, C. ; Simani, S. ; Zajic, Ivan ; Akkurt, G.G. / Performance Analysis of Data-Driven and Model-Based Control Strategies Applied to a Thermal Unit Model. In: Energies. 2017 ; Vol. 10, No. 1.
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