The Hybrid RNN Control for a PMSM Drive Electric Scooter Using Rotor Flux Estimator

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Abstract:

The hybrid recurrent neural network (HRNN) control for a permanent magnet synchronous motor (PMSM) drive electric scooter using rotor flux estimator was implemented in this paper. Firstly the dynamic models of a PMSM drive system were implemented. Then, a HRNN control control system using rotor flux estimator is developed to control PMSM drive system in order to drive electric scooter. The rotor flux estimator consists of the estimation algorithm of rotor flux position and speed based on the back electromagnetic force (EMF). Moreover, the HRNN controller consists of the RNN and compensated controller with variable structure control (VSC) is applied to PMSM drive system using rotor flux estimator. Finally, the effectiveness of the proposed control schemes is demonstrated by experimental results.

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542-546

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. W. Novotny and T. A. Lipo: Vector Control and Dynamics of AC Drives, Oxford University Press, New York (1996).

Google Scholar

[2] W. Leonhard: Control of Electrical Drives, Springer-Verlag, Berlin (1996).

Google Scholar

[3] T. W. S. Chow, and Y. Fang: A Recurrent Neural-Network-Based Real-Time Learning Control Strategy Applying to Nonlinear Systems with Unknown Dynamics, IEEE Trans. Industrial Electronics, 45, 1(1998).

DOI: 10.1109/41.661316

Google Scholar

[4] S. C. Sivakumar, W. Robertson and W. J. Phillips: On-Line Stabilization of Block-Diagonal Recurrent Neural Networks, IEEE Trans. Neural Networks, 10, 1(1999).

DOI: 10.1109/72.737503

Google Scholar

[5] M. A. Brdys and G. J. Kulawski: Dynamic Neural Controllers for Induction Motor, IEEE Trans. Neural Networks, 10, 2(1999).

DOI: 10.1109/72.750564

Google Scholar

[6] J. Martens I. Sutskever: Learning Recurrent Neural Networks with Hessian-Free Optimization, Proceedings of the 28th International Conference on Machine Learning, (2011) June 28- July 2, Washington, USA.

Google Scholar

[7] P. Campolucci, A. Uncini, F. Piazza and B. D. Rao: On-Line Learning Algorithms for Locally Recurrent Neural Networks, IEEE Trans. Neural Networks, 10, 2(1999).

DOI: 10.1109/72.750549

Google Scholar