The identification of model parameters for a semi-empirical model of working process in the compression-ignition engine

• Autorzy: Brzozowski K. , Nowakowski J.
• Języki publikacji: EN

Abstrakty

EN

The paper concerns the identification process applied for a semi-empirical model of working process in the CI engine. The identification is based on pressure courses in the cylinder recorded during the experimental measurements on the test stand and is performed for estimation of values of the model parameters. Appropriate estimated values of the model parameters ensure minimization of the difference between measured and modelled pressure courses in the cylinder. The identification process can be divided into two stages. The first stage concerns identification of discrete values of the model parameters for a set of discrete engine operating conditions. The task of discrete identification is formulated as a dynamic optimisation task which is sohed using a genetic algorithm. The accuracy of the identification process is evaluated by comparison of measured and calculated values of main parameters which characterize the working cycle such as: the mean indicated pressure, thermal efficiency, the mean indicated pressure in working part of the cycle, maximal pressure of the cycle, the mass of the medium in the cylinder and the crankshaft angle for which the maximal pressure occurred. The second stage concerns generalization of the results for any technically possible engine operating conditions which is sohed by means of approximation. Feed-forward multilayer artificial neural networks are usedfor the approximation. The accuracy of the identification and some examples of verification of the model predictions are presented as well.

Słowa kluczowe

EN

modelling; working cycle; artificial intelligence

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2010
• Tom: Vol. 17, No. 3
• Strony: 41--48
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Brzozowski K.

autor

Nowakowski J.

• University of Bielsko-Biała Willowa Street 2, 43-309 Bielsko-Biała tel: [phone], fax: [phone],

Bibliografia

• [1] Brzozowski, K., Nowakowski, J., Application of optimisation to scaling of the mathematical model of the working cycle of CI engine, The Archive of Mechanical Engineering Vol. 52, No. 1 pp. . 21-39, 2005.
• [2] Brzozowski, K., Nowakowski, J., Zastosowanie sztucznych sieci neuronowych do identyfikacji modelu cyklu roboczego silnika o zapłonie samoczynnym, Proceedings of PTNSS Congress, P05-C147, pp. 1-9, 2005.
• [3] Brzozowski, K., Nowakowski, J., Zastosowanie sztucznych sieci neuronowych do modelowania emisji z silnika o zapłonie samoczynnym, Journal of KONES, Internal Combustion Engines, Vol. 12, No. 1-2, pp. 51-59, 2005.
• [4] Brzozowski, K., Warwas, K., An application of a hybrid algorithm to identification of parameters of semi-empirical model describing a real process, Proceedings of the 5-th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems, Technology and Applications, pp. 773-477, Rende 2009.
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• [9] Nowakowski, J., Brzozowski, K., Numerical model and programme for simulating working process in the compression-ignition engine with EGR, Proceedings of 12th European Automotive Congress EAEC, pp. 1-18, Bratislava 2009.
• [10] Nowakowski, J., Brzozowski, K., Mathematical model for simulation of a working cycle of compression-ignition engine based on experimental measurements, Proceedings of the FISITA 2010 World Automotive Congress, F2010-C-145, pp. 1-8, Budapest 2010.
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