The application of multi-path adaptive TABU search algorithm in fuzzy logic controller design applied for four-leg active power filter

Abstract

This paper presents the application of MATS Algorithm that used to find optimum membership function shapes for a fuzzy logic controller and used to find optimum limit range of a compensate reference current amplitude. This amplitude used to create three-phase compensate reference current signals that compare with three-phase compensate real current signals at hysteresis band current controller (HBCC) to generate gate drive signals of a FL-APF. The FL-APF delivers reactive power to point of common coupling and reduce harmonics components of all supply currents. The MATS evolution mechanisms were found optimum membership functions for fuzzy logic controller. The simulation results, after setting optimum parameters, were found that the fuzzy logic controller control active power filter to compensate reactive power at the point of common coupling and limit source currents THD to 5% in range and complied with IEEE 519 standard