论文信息 - Genetic Algorithm Based Optimization of MGP-FIR Current Reference Generator for Active Power Filters

Genetic Algorithm Based Optimization of MGP-FIR Current Reference Generator for Active Power Filters

This paper describes genetic algorithm (GA) based optimization of multiplicative general parameter finite impulse response filter (MGP-FIR) current reference signal generator for shunt-type active power filters. The MGP-FIR consists of two fixed subfilters with GA’s preoptimized fixed-point coefficients sharing one common delay line and two general adaptive multiplicative parameters to avoid harmful phase shift during fundamental frequency fluctuations. Presented theoretical conclusions are verified by simulation results and experiments performed on a designed laboratory prototype of the single-phase active power filter.

Seppo J. Ovaska | Zdenek Peroutka | Jakub Talla | Josef Stehlik

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