Title :
Identification of adhesion behavior of high speed wheel/rail based on local weighted linear models
Author :
Zhong Lusheng ; Yang Hui ; Jinhong, Gong ; Yongxian, Zhang
Author_Institution :
Coll. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang, China
Abstract :
In this paper, the identification problem of local weighted linear models is considered for the adhesion behavior of wheel/rail. The parameter is determined by minimization of output error cost function by unconstrained optimization method. In addition, the convergence speed of the proposed algorithm is also given . Finally, industrial experiment of wheel/rail adhesion process is implemented and the results show the efficiency of the proposed method.
Keywords :
adhesion; minimisation; rails; railways; wheels; adhesion behavior identification; convergence speed; high speed wheel-rail adhesion behaviour; industrial experiment; local weighted linear models; output error cost function minimization; unconstrained optimization method; wheel-rail adhesion process; Adhesives; Creep; Data models; Force; Rails; Vectors; Wheels; Parameter Estimation; System Identification; adhesion coefficient; creep ration; wheel/rail;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244477
