Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning

An improved fractional-order sliding mode control (FOSMC) for PMSM is presented in this study to set the unavoidable parameters and to improve permanent magnet synchronous motors (PMSMs) drive performance, such as current and speed tracking accuracy. To determine the optimal parameters of the FOSMC...

Full description

Bibliographic Details

Published in:	Energies
Main Authors:	Younes Zahraoui, Fardila M. Zaihidee, Mostefa Kermadi, Saad Mekhilef, Ibrahim Alhamrouni, Mehdi Seyedmahmoudian, Alex Stojcevski
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Subjects:	feedback linearization fractional-order sliding mode control PMSM drive nonlinear disturbance observer artificial neural network reinforcement learning
Online Access:	https://www.mdpi.com/1996-1073/16/11/4353