2017
DOI: 10.5815/ijisa.2017.05.08
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Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

Abstract: Abstract-This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine. The proposed methodology uses Radial Basis Function Network (RBFN) and Feedforward based Back propagation network (BPN) algorithm to generate pitch angle. The performance of the proposed control technique is analyzed by comparing the results with Fuzzy Logic Control (FLC) and Proportional -Integral (PI) control techniques. The control techniques implemented is able to compensate t… Show more

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Cited by 19 publications
(9 citation statements)
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References 27 publications
(25 reference statements)
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“…The impact of wind has made many researchers to find an optimum solution for integrating into the grid.The mechanical power w P [20,28,30] generated from the wind turbine is given by the expression, 32 0.5 ,…”
Section: Wind Energy Conversion System Modeling and Controller Dementioning
confidence: 99%
“…The impact of wind has made many researchers to find an optimum solution for integrating into the grid.The mechanical power w P [20,28,30] generated from the wind turbine is given by the expression, 32 0.5 ,…”
Section: Wind Energy Conversion System Modeling and Controller Dementioning
confidence: 99%
“…Several pitch angle controllers have been suggested in past literature [1,[15][16][17][18]. The most common pitch angle controllers are the proportional-integral (PI) controllers.…”
Section: Pitch Angle Controllermentioning
confidence: 99%
“…The revolutionary advancement in power converters [2], [3] made the system very effective in tracking of maximum power and hence improves the performance of the total system. Permanent Magnet Synchronous Generator (PMSG) based wind turbine is mostly chosen due for its ease, reliability and no requirement of gear box [4].…”
Section: Introductionmentioning
confidence: 99%