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Online Automatic Adaptation for Model-based Control of Diesel Engine
ISSN: 0148-7191, e-ISSN: 2688-3627
Published December 11, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
In this paper, an online automatic adaptation method for model-based control of a diesel engine is developed. Control-oriented models based on physics has been proposed as substitutes for conventional control methods to improve the performance of engine under real driving situation. Even such physical-rich models have fitting parameters and it is preferable to adapt the parameters according to the real-time operating condition. Therefore, an automatic adaptation method for the model is developed, and the method is based on neural network. The prediction accuracy of the model is evaluated by simulation and it is confirmed that the method can be applied online to a real engine by experiment.
CitationCAO, J., TAKAHASHI, M., YAMASAKI, Y., and KANEKO, S., "Online Automatic Adaptation for Model-based Control of Diesel Engine," SAE Technical Paper 2019-01-2320, 2019, https://doi.org/10.4271/2019-01-2320.
Data Sets - Support Documents
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