This paper describes an optimisation method for fuzzy logic-based single-phase active power filters (APFs). A two-step optimisation technique using the Nelder-Mead simplex (or Amoeba) method has been adopted for the real-time tuning of the controller. Simulations and experimental results obtained with a low cost microcontroller (SH7045) demonstrate the capability of the system to achieve fast convergence rate, power factor correction and low harmonics content.
Optimal Tuning of a Fuzzy Logic-based Single-Phase AFP via the Nelder-Meat Method
CECATI, Carlo;
2006-01-01
Abstract
This paper describes an optimisation method for fuzzy logic-based single-phase active power filters (APFs). A two-step optimisation technique using the Nelder-Mead simplex (or Amoeba) method has been adopted for the real-time tuning of the controller. Simulations and experimental results obtained with a low cost microcontroller (SH7045) demonstrate the capability of the system to achieve fast convergence rate, power factor correction and low harmonics content.File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
