DocumentCode :
2312526
Title :
Studies in Design of High Torque Three-Phase Squirrel-Cage AC Traction Motor with Aluminium Alloy Rotor Bars and Parameter Optimization using Artificial Neural Networks
Author :
Paul, R.N. ; Arya, L.D. ; Verma, H.K.
Author_Institution :
Daulat Ram Eng. Services (Pvt.) Ltd., Mandideep
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1
Lastpage :
8
Abstract :
The most vital parameter of locomotive operation is based on enhancing the kW/kg ratio of traction motor. The change over to three-phase squirrel-cage AC traction motor in electric locomotives, on inverter supply, made the traction drive most economical with high kW/kg ratio, thereby also reducing the un-sprung mass on the axle. In AC traction motor, alternative aluminium alloy rotor bars have been proposed to achieve better performance, light weight, cost reduction, and to meet the scarcity of copper to come in future. Design of rotor plays a vital role in development of torque on motor shaft. The important parameter in design of AC traction motor under inverter supply is the consideration of harmonics generated by it. In this paper, back propagation artificial neural network technique has been adopted to optimize the output design parameters of the AC traction motor rotor with aluminium alloy bars, keeping the stator design un changed. The comparison of AC traction motor with copper bars vis-vis aluminium alloy rotor bars in respect of torque developed and efficiency have been dealt in this study which present a good alternative approach in AC traction motor design.
Keywords :
AC motors; aluminium alloys; equivalent circuits; neural nets; optimisation; rotors; squirrel cage motors; aluminium alloy rotor bars; artificial neural networks; electric locomotives; locomotive operation; motor shaft; parameter optimization; three-phase squirrel-cage AC traction motor; Aluminum alloys; Artificial neural networks; Axles; Bars; Copper; Design optimization; Inverters; Rotors; Torque; Traction motors; AC traction motor; aluminium alloy rotor bars; artificial neural networks; efficiency; electrical design parameters; harmonic equivalent circuit; harmonics generated by inverter supply; kW/kg ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-1763-6
Electronic_ISBN :
978-1-4244-1762-9
Type :
conf
DOI :
10.1109/ICPST.2008.4745161
Filename :
4745161
Link To Document :
بازگشت