PV Fed Vehicle Application with Fuzzy Controlled AOF for Nonlinear Load

• Published in: 2022 IEEE 19th India Council International Conference (INDICON) pp. 1 - 4
• Main Authors: Ch, Rami Reddy, Y, Saijyotirmayi, M, Kondalu, Obbu, Chandra Sekhar, A, Pandian, Ch, Naga Sai Kalyan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24-11-2022
• Subjects: Active output filter; Autonomous aerial vehicles; Computational modeling; fuzzy controller; Fuzzy logic; Harmonic analysis; Inverters; LC filter; power train; PV system; Resistance; Voltage control
• ISSN: 2325-9418
• DOI: 10.1109/INDICON56171.2022.10039885

A new intelligent fuzzy logic controller (FLC) based electric power train for PV fed unmanned aerial vehicles is presented in this study. The AOF architecture consists of an H-bridge inverter with a low switching frequency and a small LC filter. By adding an emulated series opposition with the H-bridge inverter to ensure good quality sinusoidal signal of the line voltage, the AOF decreases the weight and size of the power transmission network while also greatly improving its conversion efficiency. The injected voltage across this mimicked series resistance reduces undesirable harmonics caused by the non-linear load. To simulate the suggested system, a fuzzy logic controller-based simulation model was constructed, and the system was evaluated under non-linear load conditions using a closed-loop feed-back control technique. The computer results show that the active resistance compensation technique may provide high-quality sinusoidal line voltage waveforms with a THD ratio of less than 3%. Furthermore, the suggested system analysis on power losses and conversion efficiency is carried out and compared to those of a standard three-phase PWM inverter, revealing that the power losses are decreased by 31%.