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Control of doubly-fed induction generator system using PFNN
Faa Jeng Lin
, Kuang Hsiung Tan, Zong Han Lu, Yung Ruei Chang
電機工程學系
研究成果
:
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會議論文篇章
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同行評審
5
引文 斯高帕斯(Scopus)
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Keyphrases
Control of Doubly Fed Induction Generator
100%
Doubly Fed Induction Generator System
100%
Stochastic Fuzzy Neural Networks
100%
Field-oriented Control
50%
Sub-synchronous
50%
Rotor Side Converter
50%
Stator Side Converter
50%
Operating Conditions
25%
Control Scheme
25%
Network Structure
25%
Fuzzy Control
25%
Online Learning Algorithm
25%
Electric Grid
25%
Transient-state Response
25%
Synchronous Condition
25%
DC-link Voltage
25%
Steady-state Response
25%
Emergency Powers
25%
Stand-alone Power System
25%
Stator
25%
Rotor Speed
25%
Convergence Analysis
25%
Engineering
Doubly-Fed Induction Generator
100%
Field-Oriented Control
66%
Neural Network Controller
33%
Experimental Result
33%
Transients
33%
Power Engineering
33%
Control Scheme
33%
Rotors
33%
Online Learning Algorithm
33%
Rotor-Side Converter
33%
State Response
33%
Electric Power Systems
33%
Link Voltage
33%
Constant Magnitude
33%
Emergency Power
33%
Electricity Grid
33%
Stator Voltage
33%
Rotor Speed
33%