Robust Adaptive Neural-Network Backstepping Control Design for High-Speed Permanent-Magnet Synchronous Motor Drives: Theory and Experiments

Robust Adaptive Neural-Network Backstepping Control Design for High-Speed Permanent-Magnet Synchronous Motor Drives: Theory and Experiments

This paper presents a robust adaptive backstepping control (RABC) for high-speed permanent-magnet synchronous motor (HSPMSM) drive system. The proposed RABC achieves high performance operation by incorporating an ideal backstepping controller (IBC), a recurrent radial basis function neural network (...

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Bibliographic Details
Main Authors: Fayez F. M. El-Sousy, Mohamed F. El-Naggar, Mahmoud Amin, Ahmed Abu-Siada, Khaled A. Abuhasel
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Adaptive control
backstepping technique
Lyapunov stability theorem
high-speed permanent-magnet synchronous motor
radial basis function neural network (RBFNN)
uncertainty observer
Online Access:https://ieeexplore.ieee.org/document/8767913/

Internet

https://ieeexplore.ieee.org/document/8767913/

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