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The Design of Frequency Filters of Iterative Feedback Tuning Using Particle Swarm Optimization
2014
Advances in Electrical Engineering
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,
doi:10.1155/2014/465127
fatcat:calwh6veqnch5ocy7zdphirlju