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 Active Power Filter via the Nelder-Mead Method

LISERRE, Marco
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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/6596
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