A novel heuristic optimisation algorithm for automated design of resonant compensators for shunt active filters

摘要

This study presents the automated control design for shunt active filters using a novel heuristic optimisation algorithm. The hybrid bacterial foraging optimisation algorithm is specifically developed for the automated optimisation of the modified resonant compensator for the compensation of all main harmonics, 5th, 7th, 11th and 13th. The compensator is based on the sinusoidal internal model principle providing excellent improvement in control accuracy and performance for harmonic signals. The compensator is implemented in a single rotating reference frame fixed to the supply voltage vector. The automated design procedure and a novel optimisation algorithm are presented in detail. Experimental results demonstrate the effectiveness of the proposed control design and the accuracy of current tracking performance.