Permanent magnet synchronous motor direct torque control with zero vector based on inteligent method

There are many torque ripples in traditional direct torque control (DTC) for permanent magnet synchronous motor(PMSM) drive, which are caused by the error of flux linkage estimation and hysteresis band amplitudes, etc.To solve these problems , a radial basis function (RBF) neural networks was design...

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Bibliographic Details
Main Authors: Guang-Ye Li, Jian-Ru Wan, Ying-Pei Liu, Shen Hong, Chen-Hu Yuan
Format: Conference Proceeding
Language:English
Subjects:
Amplitude estimation
Couplings
Direct Torque Control (DTC)
Error correction
Fuzzy control
Fuzzy neural networks
Hysteresis
Neural networks
Permanent magnet motors
Permanent Magnet Synchronous Motor (PMSM)
RBF Neural Networks
Stators
Torque control
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Description
Summary:There are many torque ripples in traditional direct torque control (DTC) for permanent magnet synchronous motor(PMSM) drive, which are caused by the error of flux linkage estimation and hysteresis band amplitudes, etc.To solve these problems , a radial basis function (RBF) neural networks was designed to estimate the stator flux linkage, and fuzzy controller, in which zero-voltage vector is used, was designed to replace the traditional hysteresis controllers. Therefore, intelligence DTC strategy was accomplished. concerted control between flux linkage and torque is realized. The flux linkage error and torque error are classified reasonably by fuzzy controller and electromagnet torque ripples are dramatically reduced. Meanwhile, rapid torque response and strong robustness of direct torque control method are still maintained. The simulation and experiment results have verified the feasibility and effectiveness of this method.
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212463