DocumentCode :
2684363
Title :
Flux observation and parameter estimation for induction motors in traction drives
Author :
Busco, B. ; Marco, G. De ; Marino, P. ; Mungiguerra, V. ; Porzio, M. ; Russo, F. ; Vasca, F.
Author_Institution :
Ansaldo Trasporti Napoli, Italy
Volume :
2
fYear :
1996
fDate :
23-27 Jun 1996
Firstpage :
1408
Abstract :
The analysis and the realization of a control system for traction motor drives, based on a voltage source inverter and an induction motor, are proposed. Two different estimators for rotor flux observation and rotor resistance reconstruction, based on Kalman filter techniques, are considered and compared. The simulation of the whole drive is carried out using an integrated software tool, written in the ANSI C language. The tool is an open environment which allows simulation of a complete drive train system, from the supply line to the mechanical load, including CPU boards. The C code modules can be transferred without any change to the real-time multiprocessor board. Simulation results and experimental issues are discussed, considering a GTO high power drive and an IGBT medium power drive
Keywords :
DC-AC power convertors; Kalman filters; bipolar transistor switches; circuit analysis computing; electric machine analysis computing; filtering theory; induction motor drives; insulated gate bipolar transistors; invertors; machine theory; parameter estimation; power bipolar transistors; power semiconductor switches; rotors; switching circuits; thyristor convertors; traction motor drives; ANSI C language; GTO VSI; IGBT VSI; Kalman filter techniques; computer simulation; integrated software tool; parameter estimation; rotor flux observation; rotor resistance reconstruction; traction motor drive; voltage source inverter; Control systems; Drives; Induction motors; Insulated gate bipolar transistors; Inverters; Parameter estimation; Rotors; Software tools; Traction motors; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 1996. PESC '96 Record., 27th Annual IEEE
Conference_Location :
Baveno
ISSN :
0275-9306
Print_ISBN :
0-7803-3500-7
Type :
conf
DOI :
10.1109/PESC.1996.548766
Filename :
548766
Link To Document :
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