TY - JOUR
T1 - Online Automatic Adaptation for Model-based Control of Diesel Engine
AU - Cao, Jianan
AU - Takahashi, Motoki
AU - Yamasaki, Yudai
AU - Kaneko, Shigehiko
N1 - Funding Information:
This research was conducted under the support of SIP (Strategic Innovation Promotion Program) "Innovative Combustion Technology" (Management Corporation: JST) of the General Science and Technology · Innovation Conference. I express my appreciation for writing it here.
Publisher Copyright:
© 2019 SAE Japan and SAE International.
PY - 2019/12/19
Y1 - 2019/12/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85084449662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084449662&partnerID=8YFLogxK
U2 - 10.4271/2019-01-2320
DO - 10.4271/2019-01-2320
M3 - Conference article
AN - SCOPUS:85084449662
SN - 0148-7191
JO - SAE Technical Papers
JF - SAE Technical Papers
IS - December
T2 - 2019 JSAE/SAE Powertrains, Fuels and Lubricants International Meeting, JSAE 2019
Y2 - 26 August 2019 through 29 August 2019
ER -