The Development of Transient Film Compensator Based on MotoTron Development Platform

Zhong-lu Hu, Yue-lin Li, Dong-Yu Zhang, Xing He
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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.
基于MotoTron开发平台的瞬态膜补偿器的开发
汽油机瞬态油膜动态会对空燃比产生影响。采用Elman神经网络辨识油膜参数,利用Simulink建立汽油机油膜暂态补偿器模型。基于MotoTron快速原型开发平台,完成了油膜补偿器模型策略移植、下载和标定测试。最后,通过仿真和实验验证了油膜补偿器在瞬态空燃比控制中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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