DocumentCode :
2756089
Title :
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
Link To Document :
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