Establishment of Meanline Compressor Mathematical Model with Active Blade Load Distribution Control

Faltin, Zsolt; Beneda, Károly

doi:10.1109/sami48414.2020.9108751

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Cited by 3 publications

References 32 publications

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The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine

Tang,

Xia,

Zhang

et al. 2023

J Mar Sci Technol

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The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine

Tang,

Xia,

Zhang

et al. 2023

J Mar Sci Technol

View full text Add to dashboard Cite

Design and Evaluation of Linear Quadratic Regulator for Blade Load Distribution Control as Active Surge Suppression in Centrifugal Compressors

Faltin¹,

Beneda²

2020

2020 New Trends in Aviation Development (NTAD)

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A novel marine turbocharger compressor volume flow rate model based on stagnation enthalpy theory

Tang,

Xia,

Zhang

et al. 2024

International Journal of Engine Research

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The compressor volume flow rate model determines the mass flowing into the diesel engine in simulation. It is a key component model that affects the accuracy of the overall performance of the diesel engine. At present, there is a lack of an accurate and easy-to-use compressor volume flow rate model. To solve this, the stagnation enthalpy-based compressor volume flow rate model (SP model) is proposed. The SP model is compared with an improved version of the famous empirical JENSEN model, M-JENSEN (MJ), and physics-based KS model. The proposed SP model only requires the stagnation pressure to be determined. The empirical M-JENSEN model needs a compressor map to optimize its six parameters. The physics-based KS model requires specific work to be determined. The SP model needs the least measured data and is easy to be identified. Models’ accuracy comparison on ABB A270 shows that the proposed SP model can generate the compressor map with RMSE of about 1.1m3/s and mean relative error (MRE) of about 6.9%. The rated volume flow rate of ABB A270 is about 20m3/s. While the RMSE and MRE of MJ model are about 0.6m3/s and 3.1% respectively. And they are about 3.0m3/s and 17.4% for KS model. When the model’s accuracy is compared to MAN TCA88, SP model shows slightly better performance than its performance on ABB A270. The rated volume flow rate of MAN TCA88 is about 60m3/s. The values of RMSE of SP model, MJ model, and KS model are 3.2m3/s, 2.2m3/s, 10.3m3/s respectively. Their MREs are 6.73%, 4.45%, and 17.8% respectively. In terms of these results, it can be concluded that our proposed SP model needs the least data, easy to code, and has excellent performance. It is one of the best compressor mass flow rate models so far in real-time diesel simulation.

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Establishment of Meanline Compressor Mathematical Model with Active Blade Load Distribution Control

Cited by 3 publications

References 32 publications

The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine

The accuracy of the mean value engine model affected little by the accuracy of compressor mass flow rate model for a marine diesel engine

Design and Evaluation of Linear Quadratic Regulator for Blade Load Distribution Control as Active Surge Suppression in Centrifugal Compressors

A novel marine turbocharger compressor volume flow rate model based on stagnation enthalpy theory

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