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Performance Comparison Of Variable Speed Induction Machine Wind Generation System With And Without Fuzzy Logic Controller


 

In this paper, we proposed a variable speed induction machine wind generation system with fuzzy logic controller, and make a performance comparison of variable speed induction machine wind generation system with and without fuzzy logic controllers. Artificial intelligence techniques such as fuzzy logic, neural network, and genetic algorithm are recently showing a lot of promise in application of power electronics systems. A squirrel cage induction generator feeds the power to a double-sided pulse width modulation converter system which pumps power to a utility grid or to an autonomous system. The generator speed is controlled by indirect vector control  with torque control in its inner loop. The fuzzy logic based control of the system helps to optimize efficiency and enhance performance .  a complete     3.5 KW generation system  has  been designed by using MATLAB.


Keywords

Fuzzy Logic Controller (FLC), Membership Functions(MF)
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  • Performance Comparison Of Variable Speed Induction Machine Wind Generation System With And Without Fuzzy Logic Controller

Abstract Views: 129  |  PDF Views: 2

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Abstract


In this paper, we proposed a variable speed induction machine wind generation system with fuzzy logic controller, and make a performance comparison of variable speed induction machine wind generation system with and without fuzzy logic controllers. Artificial intelligence techniques such as fuzzy logic, neural network, and genetic algorithm are recently showing a lot of promise in application of power electronics systems. A squirrel cage induction generator feeds the power to a double-sided pulse width modulation converter system which pumps power to a utility grid or to an autonomous system. The generator speed is controlled by indirect vector control  with torque control in its inner loop. The fuzzy logic based control of the system helps to optimize efficiency and enhance performance .  a complete     3.5 KW generation system  has  been designed by using MATLAB.


Keywords


Fuzzy Logic Controller (FLC), Membership Functions(MF)