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Internal Combustion Engine controlled by Artificial Neural Network
1 Warsaw University of Technology, Institute of Heat Engineering
Structural Longevity 2012, 7(3), 187-202. https://doi.org/10.3970/sl.2012.007.187
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The paper presents a control strategy concept of a piston engine fueled by Natural Gas as a DG unit obtained by using an Artificial Neural Network. The control strategy is based on several factors and directs the operation of the unit in the context of changes occurring in the market, while taking into account the operating characteristics of the unit. The control strategy is defined by an objective function: for example, work at maximum profit, maximum service life, etc. The results of simulations of the piston engine as a DG unit at chosen loads are presented. Daily changes in the prices of fuel and electricity are factored into the simulations.Cite This Article
APA Style
Milewski, J., Szabaowski, Ł., Kuta, J. (2012). Internal combustion engine controlled by artificial neural network. Structural Longevity, 7(3), 187-202. https://doi.org/10.3970/sl.2012.007.187
Vancouver Style
Milewski J, Szabaowski Ł, Kuta J. Internal combustion engine controlled by artificial neural network. Structural Longevity . 2012;7(3):187-202 https://doi.org/10.3970/sl.2012.007.187
IEEE Style
J. Milewski, Ł. Szabaowski, and J. Kuta, “Internal Combustion Engine controlled by Artificial Neural Network,” Structural Longevity , vol. 7, no. 3, pp. 187-202, 2012. https://doi.org/10.3970/sl.2012.007.187
Copyright © 2012 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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