DocumentCode :
1153537
Title :
A novel technique of rotor resistance estimation considering variation of mutual inductance
Author :
Sul, Seung Ki
Volume :
25
Issue :
4
fYear :
1989
Firstpage :
578
Lastpage :
587
Abstract :
The study proposes a method to estimate AC induction-machine mutual inductance and rotor resistance based on terminal voltage, current, and shaft speed as input signals. For certain operating regions of the machine, it is verified that the mutual inductance can be accurately estimated regardless of wide stator resistance variation. The equations to estimate mutual inductance and rotor resistance are derived from the machine´s nonlinear differential equations. The nonlinear equations are solved using integration. The initial condition for each integration is found by an averaging of measured input signals. The validity of the suggested method is confirmed by computer simulation and experimental tests. The simulation results considered the dynamics of the induction machine, current controller, and field-oriented controller and show that the mutual inductance and rotor resistance can be estimated with reasonable accuracy even in the transient state. Mutual inductance and rotor resistance estimations for the experimental test results support the simulation results with negligible error
Keywords :
asynchronous machines; digital simulation; electric machine analysis computing; electric resistance; machine theory; nonlinear differential equations; rotors; AC induction-machine; asynchronous machines; computer simulation; current; current controller; electric machine analysis computing; field-oriented controller; integration; machine theory; mutual inductance; nonlinear differential equations; rotor resistance estimation; shaft speed; stator resistance; voltage; Computational modeling; Computer simulation; Differential equations; Electrical resistance measurement; Inductance; Nonlinear equations; Shafts; Stators; Testing; Voltage;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.31234
Filename :
31234
Link To Document :
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