AI CONTROLLER BASED SUPER TWISTING SLIDING MODE CONTROL FOR SHUNT ACTIVE POWER FILTER USING SPACE VECTOR PULSE WIDTH MODULATION

Abstract

Based on space vector modulation, we suggest a DPC technique for use with shunt active power filters (SVM). It is proposed that this control mechanism take the role of conventional DPC processes. Active and reactive power ripples may be mitigated using SVM since the switching frequency is maintained constant. The performance of the suggested approach is enhanced by the employment of an adaptive neuro fuzzy inference system (ANFIS) in conjunction with a Super twisted Sliding Mode control (ST-SMC) controller in both the active and reactive power loops. The suggested control DPC-SVM is based on ANFIS-ST-SMC, and we use MATLAB/Simulink to both simulate and then implement it.