DocumentCode :
1173068
Title :
Online identification of induction machine electrical parameters for vector control loop tuning
Author :
Telford, Dwayne ; Dunnigan, Matthew W. ; Williams, Barry W.
Author_Institution :
Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., UK
Volume :
50
Issue :
2
fYear :
2003
fDate :
4/1/2003 12:00:00 AM
Firstpage :
253
Lastpage :
261
Abstract :
In a vector-controlled induction machine drive, accurate knowledge of the machine electrical parameters is required to ensure correct alignment of the stator current vector relative to the rotor flux vector, to decouple the fluxand torque-producing currents and to tune the current control loops. This paper presents a new method for online identification of the induction machine parameters required to tune a rotor-flux-oriented (RFO) vector control scheme. Accuracy of the slip frequency estimation required for RFO vector control is achieved by utilizing the parameter independent "flux pulse" rotor time constant estimation scheme, which utilizes short-duration pulses injected into the flux-producing current. The parameters required to tune the synchronous frame current control loops with a decoupling circuit are estimated using a recursive estimation scheme derived from the synchronous frame voltage equations. As the "flux pulse" scheme requires signal injection into the flux-producing current a new rotor time constant estimation scheme is presented, based on the sensitivity analysis of the recursive parameter estimation scheme. Simulation and experimental results are presented which demonstrate the effectiveness of the online parameter identification and control loop tuning technique.
Keywords :
control system analysis; control system synthesis; electric current control; induction motor drives; machine theory; machine vector control; parameter estimation; stators; flux-producing currents; induction machine electrical parameters identification; rotor flux vector; stator current vector alignment; torque-producing currents; vector control loop tuning; Current control; Electric current control; Equations; Frequency estimation; Induction machines; Machine vector control; Parameter estimation; Recursive estimation; Stators; Tuned circuits;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2003.809397
Filename :
1191800
Link To Document :
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