IAES International Journal of Robotics and Automation (IJRA)
Vol 8, No 2: June 2019

Implementation of ANFIS based controller on IG wind farm for improved performance

Pragya Sharma (University Institute of Engineering and Technology)
Satbir Singh (University Institute of Engineering and Technology)
Vivek Pahwa (University Institute of Engineering and Technology)



Article Info

Publish Date
01 Jun 2019

Abstract

In this paper, the transient performance of a 9-MW Induction Generator (IG) wind farm is improved by implementing an Adaptive Neuro Fuzzy Inference System (ANFIS) based controller on the turbine in MATLAB/SIMULINK environment using phasor analysis. Initially, the parameters of PI controller is developed using conventional method. Then, with the help of PI controller, the ANFIS based controller is trained. This developed controller reduces peak overshoot and settling time of active power and torque-speed characteristics in contrast to PI controller. Further, the system is linearized and the obtained results in time domain have been validated for stability by using Pole-Zero plot.

Copyrights © 2019






Journal Info

Abbrev

IJRA

Publisher

Subject

Automotive Engineering Electrical & Electronics Engineering

Description

Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our ...