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

Arman Sharifi | Zendy

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

Author(s) -

Arman Sharifi

Publication year - 2014

Publication title -

advances in electrical engineering

Language(s) - English

Resource type - Journals

eISSN - 2356-6655

pISSN - 2314-7636

DOI - 10.1155/2014/465127

Subject(s) - particle swarm optimization , control theory (sociology) , weighting , computer science , quadratic equation , mathematical optimization , mathematics , algorithm , control (management) , physics , artificial intelligence , geometry , acoustics

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

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