Design fuzzy logic controller by particle swarm optimization for wind turbine
NK Bachache, J Wen - Advances in Swarm Intelligence: 4th International …, 2013 - Springer
Advances in Swarm Intelligence: 4th International Conference, ICSI 2013 …, 2013•Springer
In this work the Particle Swarm Optimization (PSO) is utilized to framing the optimal
parameters of Fuzzy Logic Controller FLC, this parameter is (centers and width) of triangle
membership functions, the proposed method can design a robust controller to govern the
speed of wind turbine WT, adjusting pitch angle of blade can regulate the output power of
WT at a wide range of wind speed, the mean objective of this work is to make the operation
of WT works as like as traditional motivator used in power system. By SIMULINK-MATLAB …
parameters of Fuzzy Logic Controller FLC, this parameter is (centers and width) of triangle
membership functions, the proposed method can design a robust controller to govern the
speed of wind turbine WT, adjusting pitch angle of blade can regulate the output power of
WT at a wide range of wind speed, the mean objective of this work is to make the operation
of WT works as like as traditional motivator used in power system. By SIMULINK-MATLAB …
Abstract
In this work the Particle Swarm Optimization (PSO) is utilized to framing the optimal parameters of Fuzzy Logic Controller FLC, this parameter is (centers and width) of triangle membership functions, the proposed method can design a robust controller to govern the speed of wind turbine WT, adjusting pitch angle of blade can regulate the output power of WT at a wide range of wind speed, the mean objective of this work is to make the operation of WT works as like as traditional motivator used in power system. By SIMULINK-MATLAB we implement the complete mathematical model of the system. The simulation results demonstrate that the Optimized Fuzzy Logic Control (OFLC) gets a better parameters of fuzzy sets using PSO, and realizes a good dynamic behavior compared with conventional FLC.
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