The Development of Transient Film Compensator Based on MotoTron Development Platform

Author

Zhong-lu Hu ; Yue-lin Li ; Dong-yu Zhang ; Xing He

Author_Institution

Sch. of Automotive & Mech. Eng., Changsha Univ. of Sci. & Technol., Changsha, China

fYear

2013

fDate

29-30 June 2013

Firstpage

1452

Lastpage

1455

Abstract

Gasoline engine transient conditions oil film dynamic would effect on air fuel ratio. The Elman neural network was used to identify the parameters of oil film, and the gasoline engine oil film transient compensator model was established by Simulink. Based on MotoTron rapid prototyping Development Platform, oil film compensator model strategy transplantation, download and calibration test that were finished. Finally, the development of the oil film compensator for transient conditions air-fuel ratio control effectiveness was proved through the simulation and experiment.

Keywords

automobiles; calibration; intake systems (machines); internal combustion engines; mechanical engineering computing; neural nets; oils; parameter estimation; software prototyping; Elman neural network; MotoTron rapid prototyping development platform; Simulink; air-fuel ratio; calibration testing; gasoline engine transient conditions; oil film transient film compensator; parameter identification; Automation; Manufacturing; Film compensator; Gasoline Engine; MotoTron; Transient;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ICDMA.2013.347

Filename

6598271