The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine ConvertersReportar como inadecuado




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1

School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China

2

School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia



These authors contributed equally to this work.





*

Authors to whom correspondence should be addressed.



Academic Editor: Simon J. Watson

Abstract In order to meet the requirements of high precision and fast response of permanent magnet direct drive PMDD wind turbines, this paper proposes a fuzzy proportional integral PI controller associated with a new control strategy for wind turbine converters. The purpose of the control strategy is to achieve the global optimization for the quantization factors, ke and kec, and scale factors, kup and kui, of the fuzzy PI controller by an improved particle swarm optimization PSO method. Thus the advantages of the rapidity of the improved PSO and the robustness of the fuzzy controller can be fully applied in the control process. By conducting simulations for 2 MW PMDD wind turbines with Matlab-Simulink, the performance of the fuzzy PI controller based on the improved PSO is demonstrated to be obviously better than that of the PI controller or the fuzzy PI controller without using the improved PSO under the situation when the wind speed changes suddenly. View Full-Text

Keywords: permanent magnet direct drive PMDD wind turbine; converter; particle swarm optimization PSO; fuzzy PI controller permanent magnet direct drive PMDD wind turbine; converter; particle swarm optimization PSO; fuzzy PI controller





Autor: Yancai Xiao 1,* , Tieling Zhang 2,* , Zeyu Ding 1,† and Chunya Li 1,†

Fuente: http://mdpi.com/



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