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AN IMPROVED POSITION ESTIMATOR FOR SENSORLESS CONTROLLED PERMANENT MAGNET SYNCHRONOUS MOTORS
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Author(s) |
M. Schrödl |
Abstract |
The paper deals with the detection of the rotor angular position of permanent magnet synchronous motors without using position encoders. Two different models are used - the INFORM model for low angular velocities and an e.m.f. based algorithm for higher velocities. Based on the detected mechanical quantities a Kalman filter is constructed which estimates angular velocity, position and load torque of the machine. The algorithms are implemented on a digital signal processing system. Measurements verify the properties of the "sensorless" drive. |
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Filename: | Unnamed file |
Filesize: | 2.818 MB |
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Type |
Members Only |
Date |
Last modified 2019-08-12 by System |
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