Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

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Ramji Tiwari 1,* Ramesh Babu. N 1

1. School of Electrical Engineering, VIT University, Vellore, India

* Corresponding author.


Received: 20 Jul. 2016 / Revised: 17 Nov. 2016 / Accepted: 11 Jan. 2017 / Published: 8 May 2017

Index Terms

Wind energy conversion system, Permanent magnet synchronous generator, Pitch angle, Fuzzy logic, Back propagation, neural network, Radial basis function network


This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine. The proposed methodology uses Radial Basis Function Network (RBFN) and Feed-forward based Back propagation network (BPN) algorithm to generate pitch angle. The performance of the proposed control technique is analyzed by comparing the results with Fuzzy Logic Control (FLC) and Proportional - Integral (PI) control techniques. The control techniques implemented is able to compensate the nonlinear characteristic of wind speed. The wind turbine is smoothly controlled to maintain the generator power and the mechanical torque to the rated value without any fluctuation during rapid variation in wind speed. The effectiveness of the proposed control strategy is verified using MATLAB/Simulink for 2-MW permanent magnet synchronous generator (PMSG) based wind energy conversion system.

Cite This Paper

Ramji Tiwari, Ramesh Babu. N, "Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.5, pp.62-73, 2017. DOI:10.5815/ijisa.2017.05.08


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