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...

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Bibliografiska uppgifter
I publikationen:IEEE Transactions on fuzzy systems 9, 1 (2001).
Huvudupphovsman: Faa-Jeng Lin
Materialtyp: Artikel
Språk:English
Ämnen:
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.