Braking Torque Analysis of Eddy Current Retarder Based on Neural Network

Author

Wu, Fu ; Wang, Shengfa ; Yang, Xijuan ; Teng, Qingfang ; Fan, Duowang

Author_Institution

Key Lab. of Opto-Electron. Technol. & Intelligent Control of Minist. of Educ., Lanzhou Jiaotong Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6353

Lastpage

6357

Abstract

The mathematical model of braking torque on eddy current retarder is analyzed. Aim at the shortages that comparing real output torque of eddy current retarder at high velocity the error of the mathematical model´s computation torque is big, a braking torque model based on neural network model is proposed. The neural network model of eddy current retarder is established in terms of the braking torque´s characteristics. The existing control system of eddy current retarder is studied and a novel PWM control system based on neural network model is proposed. The capabilities of mathematical model and neural network model are compared in terms of the experiment and testify the braking torque model based on neural network model is more valid

Keywords

control engineering computing; eddy current braking; electric current control; neural nets; torque control; PWM control system; braking torque; eddy current retarder; mathematical model; neural network; Control system synthesis; Eddy currents; Educational technology; Electronic mail; Intelligent control; Laboratories; Mathematical model; Neural networks; Pulse width modulation; Torque; braking torque; eddy current retarder; mathematical model; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714307

Filename

1714307