Table of Contents
Advances in Electrical Engineering
Volume 2014, Article ID 465127, 5 pages
Research Article

The Design of Frequency Filters of Iterative Feedback Tuning Using Particle Swarm Optimization

Department of Electrical Engineering, Islamic Azad University, Kermanshah Branch, Kermanshah 6718997551, Iran

Received 9 May 2014; Revised 7 August 2014; Accepted 11 August 2014; Published 25 August 2014

Academic Editor: Ana Alejos

Copyright © 2014 Arman Sharifi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Iterative feedback tuning (IFT) is a data-based tuning approach that minimizes a quadratic performance index using some closed-loop experimental data. A control weighting coefficient, known as lambda, and two frequency filters are the most important parameters which can significantly improve the performance of the method. One of the major problems in IFT is tuning these parameters. This paper presents a new approach to tune frequency filters using particle swarm optimization (PSO). At the end, the performance of the proposed method is evaluated by two case study simulations.