RBF neural network based PI pitch controller for a class of 5-MW wind turbines using particle swarm optimization algorithm

2012 ◽  
Vol 51 (5) ◽  
pp. 641-648 ◽  
Author(s):  
Iman Poultangari ◽  
Reza Shahnazi ◽  
Mansour Sheikhan
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Wind Turbines ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Rbf Neural Network ◽  
Particle Swarm ◽  
Swarm Optimization

Research and Simulation on RBFNN Optimized by Particle Swarm Algorithm

2013 ◽  
Vol 303-306 ◽  
pp. 1431-1434
Author(s):  
Jin Na Lu ◽  
Yan Ping Bai
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Test Data ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Rbf Neural Network ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Optimal Parameters ◽  
Swarm Optimization

RBF neural network with the parameters randomly selected may have unstabilized error. In this paper on this problem we improve the RBFNN by introducing particle swarm optimization algorithm, and use the algorithm of searching optimization process to adjust the three parameters of RBFNN. Through simulating four groups of test data by improved PSO-RBFNN network, we get optimal parameters. The simulation shows that the error of the improved network is smaller.

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