Performance Comparison of AI Controllers for DC Link Voltage of SAPF System for Power Quality Enhancements

Abstract

In this article, an artificial intelligent controller based mammalian limbic system and an emotional process is presented in DC Link voltage control for three phase shunt active power filter. A novel approach of the intelligent techniques, for control and decision making processes, was introduced that is based on the emotion processing mechanism in the brain, and is essentially an active selection, which is based on sensory inputs and emotional cues. In this work, a model of shunt compensation system for improving power quality by using the artificial intelligent control system, which control the DC link voltage spike during the transient period accurately and maintains quick settling time during step changing of load. And also it does not require any conventional controllers. In this proposed method BELBIC controller is used, the response of the DC link voltage is compared with PI and Fuzzy Gain scheduling controller. This generation of intelligent controllers that has high auto learning speed with simple structure shows excellent error free environment for industrial applications.