A complete and compact control-oriented compressor model consisting of a mass flow submodel and an efficiency submodel is described. The final application of the model is a complete two-stroke mean value engine model (MVEM) which requires simulating the compressor operating at the low-flow and low-pressure ratio area. The model is based on previous research done for automotive-size compressors, and it is shown to be general enough to adapt well to the characteristics of the marine-size compressors. A physics-based efficiency model allows, together with the mass flow model, extrapolating to low-pressure ratios. The complexity of the model makes its parameterization a difficult task; hence, a method to efficiently estimate the 19 model parameters is proposed. The method computes analytic model gradients and uses them to minimize the orthogonal distances between the modeled speed lines (SpLs) and the measured points. The results of the parameter estimation are tested against nine different standard marine-size maps showing good agreement with the measured data. Furthermore, the results also show the importance of estimating the parameters of the mass flow and efficiency submodels at the same time to obtain an accurate model. The extrapolation capabilities to low-load regions are also tested using low-load measurements from an automotive-size compressor. It is shown that the model follows the measured efficiency trend down to low loads.
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January 2017
Research-Article
Parameterizing Compact and Extensible Compressor Models Using Orthogonal Distance Minimization
Xavier Llamas,
Xavier Llamas
Vehicular Systems,
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: xavier.llamas.comellas@liu.se
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: xavier.llamas.comellas@liu.se
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Lars Eriksson
Lars Eriksson
Vehicular Systems,
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: lars.eriksson@liu.se
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: lars.eriksson@liu.se
Search for other works by this author on:
Xavier Llamas
Vehicular Systems,
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: xavier.llamas.comellas@liu.se
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: xavier.llamas.comellas@liu.se
Lars Eriksson
Vehicular Systems,
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: lars.eriksson@liu.se
Department of Electrical Engineering,
Linköping University,
Linköping SE-581 83, Sweden
e-mail: lars.eriksson@liu.se
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received December 16, 2015; final manuscript received July 1, 2016; published online August 16, 2016. Assoc. Editor: Klaus Brun.
J. Eng. Gas Turbines Power. Jan 2017, 139(1): 012601 (10 pages)
Published Online: August 16, 2016
Article history
Received:
December 16, 2015
Revised:
July 1, 2016
Citation
Llamas, X., and Eriksson, L. (August 16, 2016). "Parameterizing Compact and Extensible Compressor Models Using Orthogonal Distance Minimization." ASME. J. Eng. Gas Turbines Power. January 2017; 139(1): 012601. https://doi.org/10.1115/1.4034152
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