基于新型RBF神经网络的四缸发动机活塞_轴系仿真研究.pdfVIP

　第 26 卷 第 5 期 　　　　　　　　　 内　燃 　机 　工 　程 　　　　　　　　　 Vol . 26 No . 5 　2005 年 10 月 　　　　　　　　　 Chinese Int ernal Combu stion Engine Engineering 　　　　　　　　　 Oct . 2005 文章编号 :1000 - 0925 (2005) 05 - 062 - 04 260 104 基于新型 RBF 神经网络的四缸发动机活塞 - 轴系 仿真研究 1 2 孟凡明 , 张优云 ( 1. 清华大学 摩擦学国家重点实验室, 北京 100084 ;2 . 西安交通大学 润滑理论及轴承研究所) Simulation of PistonCrankshaf t System of Engine Based on Improved Radial Base Function Neural Net work MENG Fanming1 , ZHANG Youyun2 ( 1. St at e Key Tribolo gical L ab In stit ut e , Tsinghua U niver sit y , Beij ing 100084 ,China ; 2 . Theory of L ubrication and Bearin g In stit ut e ,Xi ’an J iaoto ng U niver sit y) By t he u se of int ro ducing a new t yp e of Radial Ba se Function neural net wor k s ( RB FNN ) and Abstract : vi sualizatio n t echnolo gy into t he simulatio n of t he pi stoncrank shaft coup ling dynamic sy st em of a fourcylin der engine , t he simulation mo del s of t hi s t yp e of engine were develop ed . U nder t he co n sideration of op eration p erfor mance s of t he above fourcylinder en gine , t he RB FNN p rop o sed coul d recon st r uct ed t he oil film force s calculat ed by t wodimen sional Reynol d lubrication equation and p re ssure app lied on t he pi ston by co mbu stion ga s in a cylinder , and it s validit y wa s demon st rat ed . Ba sed on coup ling t he succe ssf ully t rained and mo dular ized RB FN N into t he dynamic equation s for t he above pi stoncrank shaft sy st em , t he simulation mo del s of t hi s sy st em were develop ed by SIMUL IN