Backstepping nonlinear control of a five-phase PMSG aerogenerator linked to a Vienna rectifier

The objective of this study is to create a nonlinear control system designed for Vienna converter-connected five-phase aerogenerator. strategy will be based on the space vector pulse width modulation (SVPWM) technique, which more suitable controlling rectifier switches. Due higher complexity permanent magnet synchronous generator (PMSG) machine than conventional three-phase generator, it poses difficult problem requiring an advanced mathematical model. Integrating aerogenera tor with converter enhances efficiency and power quality. primary purpose develop controller utilizing retrogres sion alongside SVPWM approach. Furthermore, speed optimizer artificial neural network implemented improve system’s overall meet multiple objectives. proposed improves operation Vienna’s integrated wind turbine