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Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network

Adaptive neural network (ANN) topology-based control is proposed in this
paper for three phase three wire shunt active power filter (SAPF)
application. The proposed controller improves power quality and
compensates harmonic components. The system includes a current
controlled voltage source inverter (CC-VSI) using three phase insulated
gate bipolar transistors (IGBT), a DSP module for generating regulated
pulse width modulated (PWM) pulse and reference DC bus. The increase in
nonlinear load applications has raised power quality issues. SAPF has
emerged as one of the best solutions to improve power quality.
Application of ANN in SAPF eliminates the need for unit template
generation and the tuning requirement of phase locked loop (PLL), as
required in traditional SAPF. The proposed ANN based SAPF can be
dynamically regulated for minimum harmonic contamination. The results
were obtained and verified in Matlab/ Simulink platform.