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