DocumentCode :
2342402
Title :
A hybrid modeling for the real-time control and optimization of compressors
Author :
Ding, Xudong ; Jia, Lei ; Cai, Wenjian ; Wen, Changyun ; Zhang, Guiqing
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
3256
Lastpage :
3261
Abstract :
This paper proposes a hybrid compressor model for the purpose control and optimization of vapor compression systems. Unlike those existing models, this model is determined by only the inlet and outlet conditions of compressor without requiring detailed geometric specifications, and only the variables responsible to the system performance, which can be measured and controlled, are selected as the input/output (I/O) of the models. The model is derived based on the concept of volumetric efficiency and the assumption of a polytropic compression process. The unknown empirical parameters of the model are identified by the nonlinear least squares methods. The effectiveness of the proposed model is validated by the compressor catalogs data obtained from the manufactures. Results show that the model is accurate and robust and gives a better match to the real performances of compressors over the entire operating range than the existing models. This model is expected to have wide applications in real time control and optimization of vapor compression systems.
Keywords :
compressors; least squares approximations; optimisation; real-time systems; hybrid compressor; input/output; nonlinear least squares methods; optimization; polytropic compression; real time control; vapor compression systems; volumetric efficiency; Chemical industry; Compressors; Equations; Least squares methods; Paper technology; Predictive models; Real time systems; Refrigeration; Solid modeling; Temperature; Compressor; Hybrid model; I/O Selection; Least squares methods; Parameter identifications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138804
Filename :
5138804
Link To Document :
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