MATEC Web Conf.
Volume 160, 2018International Conference on Electrical Engineering, Control and Robotics (EECR 2018)
|Number of page(s)||5|
|Section||Power Electronics and Power Drives|
|Published online||09 April 2018|
Direct Torque Control with Adaptive PI Speed Controller based on Neural Network for PMSM Drives
University of Ulsan, School of Electrical Engineering, 44610 Ulsan, South Korea
2 University of Ulsan, School of Electrical Engineering, 44610 Ulsan, South Korea
This paper presents an adaptive speed controller based on artificial intelligent technique to improvethe performance of classical Direct Torque Control (DTC) for Permanent Magnet Synchronous Motor (PMSM) drives. The proposed method applies back propagation (BP) based neural network (NN) to tune the parameters of classical proportional-integral (PI) speed controller. Comparisons between conventional PI speed controller and proposed method are carried out by Simulation.Simulation results demonstrate that conventional DTC system based on the proposed NN speed controller can achieve higher performance with fast speed response, small overshoot and robustness.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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