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Online Automatic Adaptation for Model-based Control of Diesel Engine The University of Tokyo
- Format:
- Book
- Conference/Event
- Author/Creator:
- CAO, Jianan, author.
- Conference Name:
- 2019 JSAE/SAE Powertrains, Fuels and Lubricants (2019-08-26 : Kyoto, Japan)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2019
- Summary:
- 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 2019-01-2320
- Access Restriction:
- Restricted for use by site license
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