On-line stator and rotor resistance estimation for induction motors

A ninth-order estimation algorithm is designed which provides online exponentially convergent estimates of both rotor and stator resistance for induction motors, when persistency of excitation conditions are satisfied and the stator current integrals are bounded, on the basis of rotor speed, stator...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on control systems technology 2000-05, Vol.8 (3), p.570-579
Main Authors: Marino, R., Peresada, S., Tomei, P.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Current measurement
Digital signal processors
Estimates
Excitation
Induction motors
Integral equations
On-line systems
Online
Rotors
Signal processing algorithms
Stators
Testing
Voltage
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A ninth-order estimation algorithm is designed which provides online exponentially convergent estimates of both rotor and stator resistance for induction motors, when persistency of excitation conditions are satisfied and the stator current integrals are bounded, on the basis of rotor speed, stator voltages, and stator current measurements. Rotor flux is also asymptotically recovered. Experimental tests are reported which show that: persistency of excitation and boundedness of stator currents integrals hold in typical operating conditions; both resistance estimates converge exponentially to true values; the algorithm is implementable online by currently available digital signal processors; and the algorithm is robust with respect to modeling inaccuracies. The proposed estimation scheme is intended to improve performance and efficiency of currently available induction motor control algorithms.
ISSN:1063-6536
1558-0865
DOI:10.1109/87.845888