Concert and Analysis of Auto-Tuning Dual-Feedback Biological Harmonic Controller for Industrial Claims

Abstract

Abstract A reference current estimation method for control of shunt active power filter using a digital filter based synchronous reference frame theory is presented. To extort the fundamental component of source current, the synchronous reference frame theory is suitable because of its easy mathematical calculation compared to other control algorithms. For industrial applications, the load will be continuously varying, so continuous parameter tracking is most essential for controlling the total harmonic distortion (THD) for various conditions. Artificial intelligent controller based on mammalian limbic system and an emotional process is presented in dc link voltage control for a three-phase shunt active power filter. A novel approach of the intelligent techniques for control and decision-making processes was introduced, which is based on the emotion-processing mechanism in the brain, and is essentially an active selection that is based on emotional cues and sensory inputs. A model of shunt active power filter system for improving power quality by using the artificial intelligent control system is presented, which controls the dc link voltage spike through the transient period precisely and maintains speedy settling time during sudden changing of load. This generation of artificial intelligent controllers that has high auto learning speed with a simple arrangement shows an outstanding error-free environment for industrial applications. All of the parameters were analyzed and compared with proportional–integral (PI) and fuzzy gain scheduling controllers.