Energies | |
Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems | |
Jau-Woei Perng1  Guan-Yan Chen2  | |
[1] Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan; | |
关键词: wind turbine; proportional-integral-derivative (PID) control; particle swarm optimization (PSO); radial basis function (RBF); stability boundary; time delay; | |
DOI : 10.3390/en7010191 | |
来源: mdpi | |
【 摘 要 】
A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID) controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are artificial learning mechanisms that can determine the optimal operating points, and were used to generate the function representing the most favorable operating
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190030129ZK.pdf | 473KB | download |