Eliminating current sensors of Indirect Matrix Converter using neuro-fuzzy controller

This paper describes non-linear average model of Indirect Matrix Converter (IMC) with an output LC filter in stationary and rotating reference frames. The defects of pervious control strategies based on derived average model are discussed and a novel adaptive neuro-fuzzy controller is proposed. Eliminating output current sensors, good dynamic performance in any operating point without overshoot and balanced output voltages with slight distortion of line side currents are among the benefits of the proposed method. Theory analyses, the model validation and simulation results are presented to verify the effectiveness of this control method.