The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters
Yancai Xiao,
Tieling Zhang,
Zeyu Ding and
Chunya Li
Additional contact information
Yancai Xiao: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Tieling Zhang: School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, Northfields Ave, Wollongong, NSW 2522, Australia
Zeyu Ding: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Chunya Li: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Energies, 2016, vol. 9, issue 5, 1-17
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, k e and k ec , and scale factors, k up and k ui , 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.
Keywords: permanent magnet direct drive (PMDD) wind turbine; converter; particle swarm optimization (PSO); fuzzy PI controller (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: 2016
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:5:p:343-:d:69526
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