On-line Auto-Tuning of PI Control of the Superheat for a Supermarket Refrigeration System
Publikation: Forskning - peer review › Konferenceartikel i tidsskrift
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On-line Auto-Tuning of PI Control of the Superheat for a Supermarket Refrigeration System. / Yang, Zhenyu; Andersen, Casper ; Izadi-Zamanabadi , Roozbeh.
I: I E E E International Conference on Control Applications. Proceedings, 2011, s. 792-797 .Publikation: Forskning - peer review › Konferenceartikel i tidsskrift
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TY - CONF
T1 - On-line Auto-Tuning of PI Control of the Superheat for a Supermarket Refrigeration System
A1 - Yang,Zhenyu
A1 - Andersen,Casper
A1 - Izadi-Zamanabadi ,Roozbeh
AU - Yang,Zhenyu
AU - Andersen,Casper
AU - Izadi-Zamanabadi ,Roozbeh
PB - I E E E
PY - 2011
Y1 - 2011
N2 - An online PI auto-tuning method is proposed for superheat control for a type of supermarket refrigeration systems. The proposed procedure consists of three serial steps: Step-One uses one of the two proposed empirical methods, namely<br/>multi-step method and relay method, for modeling initialization. The objective is to guide the initial (superheat) operation into a neighborhood of the predefined set-point and keep the operation inside afterwards. Step-Two identifies a FOPDT model for the concerned local dynamic either through a Modified Area Method (MAM) or a Least-Square Prediction (LSP) method. A PI controller is auto-tuned based on the obtained FOPDT model and the SIMC method in Step-Three. The proposed method is implemented on a real-sized physical system and the experimental results showed a promising potential to apply the proposed method into commercial development.
AB - An online PI auto-tuning method is proposed for superheat control for a type of supermarket refrigeration systems. The proposed procedure consists of three serial steps: Step-One uses one of the two proposed empirical methods, namely<br/>multi-step method and relay method, for modeling initialization. The objective is to guide the initial (superheat) operation into a neighborhood of the predefined set-point and keep the operation inside afterwards. Step-Two identifies a FOPDT model for the concerned local dynamic either through a Modified Area Method (MAM) or a Least-Square Prediction (LSP) method. A PI controller is auto-tuned based on the obtained FOPDT model and the SIMC method in Step-Three. The proposed method is implemented on a real-sized physical system and the experimental results showed a promising potential to apply the proposed method into commercial development.
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6044368
U2 - 10.1109/CCA.2011.6044368
DO - 10.1109/CCA.2011.6044368
JO - I E E E International Conference on Control Applications. Proceedings
JF - I E E E International Conference on Control Applications. Proceedings
SN - 1085-1992
SP - 792
EP - 797
ER -