Pregled bibliografske jedinice broj: 1029690
Control-oriented Modelling of Vapour-Compression Cycle Including Model-order Reduction and Analysis Tools
Control-oriented Modelling of Vapour-Compression Cycle Including Model-order Reduction and Analysis Tools // 14th Conference on Sustainable Development of Energy, Water and Environments Systems (SDEWES)
Dubrovnik, Hrvatska, 2019. SDEWES2019.1084, 18 (predavanje, nije recenziran, cjeloviti rad (in extenso), znanstveni)
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Naslov
Control-oriented Modelling of Vapour-Compression Cycle Including Model-order Reduction and Analysis Tools
Autori
Ratković, Igor ; Cvok, Ivan ; Soldo, Vladimir ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
14th Conference on Sustainable Development of Energy, Water and Environments Systems (SDEWES)
Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2019. - 06.10.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
Control-oriented modelling ; vapour-compression cycle ; HVAC ; model order reduction ; steady-state analysis ; linearization ; system identification
Sažetak
The paper first presents a gradual analytical model-order reduction of a moving boundary method-based 12th-order lumped-parameter nonlinear vapour compression cycle model. Model-order reduction is conducted by introducing certain assumptions and replacing state variables associated with fast dynamics with static expressions. Next, numerical tools implemented in MATLAB/Simulink and applicable to black-box heating, ventilation and air-conditioning (HVAC) models are developed for the purpose of obtaining the model static input-output maps and linearized model parameters for a wide range of operating conditions. The linearized models are used for comparison of pole-zero maps of high- and low-order models, which shows that slower, dominant dynamics are preserved in the reduced-order models. Finally, as an alternative to model-order reduction approach, a multi-input/multi-output model identification approach is proposed, which can provide a low-order linearized model directly from simulated time response of a full-order lumped- or distributed-parameter model, or from real vehicle HVAC test signals.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb