DocumentCode
1559613
Title
An improved stator flux estimation in steady-state operation for direct torque control of induction machines
Author
Idris, Nik Rumzi Nik ; Yatim, Abdul Halim Mohamed
Author_Institution
Dept. of Energy Conversion, Universiti Teknologi Malaysia, Skudai, Malaysia
Volume
38
Issue
1
fYear
2002
Firstpage
110
Lastpage
116
Abstract
This paper presents an improved stator flux estimation technique based on a voltage model with some form of low-pass (LP) filtering. In voltage-model-based stator flux estimation, an LP filter is normally used instead of a pure integrator to avoid integration drift problem due to DC offset, noise, or measurement error present in the back electromotive force. In steady-state condition, the LP filter estimator will degrade the performance and efficiency of the direct torque control (DTC) drive system since it introduced magnitude and phase errors, thus resulting in an incorrect voltage vector selection. The stator flux steady-state error between the LP filter and a pure integrator estimator technique is derived and its effect on the steady-state DTC drive performance is analyzed. A simple method is proposed to compensate for this error which results in a significant improvement in the steady-state drive performance. Simulation based on this technique is given and it is verified by experimental results
Keywords
fractional-horsepower motors; induction motor drives; low-pass filters; machine control; magnetic flux; parameter estimation; stators; torque control; 0.25 hp; back electromotive force; direct torque control; error compensation; low-pass filtering; stator flux; stator flux estimation; stator flux steady-state error; steady-state DTC drive performance; steady-state condition; torque ripple; voltage model; voltage-model-based stator flux estimation; Degradation; Filtering; Force measurement; Low pass filters; Measurement errors; Phase estimation; Stators; Steady-state; Torque control; Voltage;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.980364
Filename
980364
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