Using artificial intelligence inverter power control which is based on DC link voltage regulation for IPMSM drives with electrolytic capacitor

This proposed paper proposes an inverter power control supported on DC-link voltage regulation for Interior Permanent Magnet Synchronous Motor (IPMSM) drives utilizing Artificial Neural Network (ANN) and Fuzzy logic controller. In the proposed method, originally Proportional Integral (PI) Controller and Fuzzy Logic controller was utilized and after that the ANN was used in place of Fuzzy for the similar operation. The analysis was complete with the outputs of the circuit. The torque ripple is abridged by using ANN and Fuzzy. The high gain was achieved by scheming the PI controller and the parameters are simply intended at the required frequency. The high input power and low grid harmonics are efficiently regulated by the inverter power. The DC-link EC can be utilized for the voltage regulation. The usefulness of the proposed method is simulated and the hardware also implemented to attain PF high and the torque ripple has been lowered by Total Harmonic Distortion (THD). The power factor output is 0.98 while the harmonics of grid current as well abridged.