Adaptive ANN based Single PI Controller for Nine-Level PUC Inverter

This paper presents an Adaptive Proportional Integral (API) control strategy to regulate the capacitors voltage and load current of Nine-Level Packed U-Cell (PUC9) inverter in stand-alone mode of operation. PI is a linear control method which has been widely used in power converter topologies due to simple implementation. However, applying PI method to the power converters as nonlinear systems causes several problems like steady state error, difficulties of control factors tuning and instability in presence of uncertainties and disturbances. In the proposed API method, a single PI controller is used to adjust both capacitors voltage and load current amplitudes. A Multilayer Perceptron (MLP) Artificial Neural Network (ANN) is also trained by Artificial Bee Colony (ABC) algorithm to adapt the capacitors voltage references so that eliminates steady state error of PI and stabilizes the PUC9 voltages and current in the presence of parameters variation. Simulation results obtained by MATLAB/Simulink confirm high performance of the API.