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RFNN control for PMLSM drive via backstepping technique
Faa Jeng Lin
, Po Hung Shen
, Rong Fong Fung
Department of Electrical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
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Dive into the research topics of 'RFNN control for PMLSM drive via backstepping technique'. Together they form a unique fingerprint.
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Keyphrases
Permanent Magnet Linear Synchronous Motor (PMLSM)
100%
Fuzzy Control
100%
Synchronous Motor Drives
100%
Backstepping Technique
100%
Neural Network Control Systems
40%
Reference Trajectory
40%
Control Law
40%
Feedback Linearization
40%
Periodic Reference
40%
Dynamic Behavior
20%
Control System
20%
Robust Controller
20%
Taylor Series
20%
Parameter Vector
20%
Approximation Error
20%
Higher-order Terms
20%
Tracking Controller
20%
Vector Ordering
20%
Adaptive Algorithm
20%
Mover
20%
Motor System
20%
Adaptive Bound
20%
Bound Estimation
20%
Engineering
Control System
100%
Motor Drive
100%
Synchronous Motor
100%
Permanent Magnet
100%
Neural Network Controller
66%
Reference Trajectory
66%
Control Law
66%
Feedback Linearization
66%
Experimental Result
33%
Dynamic Behavior
33%
Simulated Result
33%
Drive System
33%
Taylor Series
33%
Parameter Vector
33%