Title :
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
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;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.347
