Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

Jau-Woei Perng, Guan-Yan Chen and Shan-Chang Hsieh
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Jau-Woei Perng: Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan
Guan-Yan Chen: Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan
Shan-Chang Hsieh: Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, 70 Lienhai Road, Kaohsiung 80424, Taiwan

Energies, 2014, vol. 7, issue 1, 1-19

Abstract: 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 parameters from each parameter of for the stability region of the PID controller. A graphical method was used to determine the 2D or 3D vision boundaries of the PID-type controller space in closed-loop wind turbine systems. The proposed techniques were demonstrated using simulations of a drive train model without time delay and a pitch control model with time delay. Finally, the 3D stability boundaries were determined the proposed graphical approach with and without time delay systems.

Keywords: wind turbine; proportional-integral-derivative (PID) control; particle swarm optimization (PSO); radial basis function (RBF); stability boundary; time delay (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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