Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive.

Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive.

A hybrid control system using a recurrent fuzzy neural network (RFNN) is proposed to control a linear induction motor (LIM) servo drive. First, feedback linearization theory is used to decouple the thrust force and the flux amplitude of the LIM. Then, a hybrid control system is proposed to control t...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:IEEE Transactions on fuzzy systems 9, 1 (2001).
Päätekijä: Faa-Jeng Lin
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Lyapunov stability theorem.
Feedback linearization theory.
Flux amplitude.
Gradient descent method.
Hybrid control.
Learning capability.
Linear induction motor servo drive.
Online parameter training methodology.
Perfect control law.
Recurrent fuzzy neural network.
Thrust force.
Tracking controller.