Sensorless optimal power tracking through enhanced hybrid strategies for five-phase PMSG-based variable-speed wind turbine

This paper describes two enhanced methods for controlling a multiphase PMSG-based wind turbine, to reach the maximum power point tracking (MPPT). The first is fuzzy sliding mode control (FSMC), based on combining the fuzzy logic and sliding mode techniques, to overcome the classical SMC deficiencies and the chattering that is undesirable for the machines. FSMC can be used to reach increased productivity with strong stability. Second, a nonlinear strategy based on fuzzy logic backstepping control (FBSC) is built for its benefits of performance improvement, simplicity, and robustness. Moreover, an ANN speed observer is developed to increase reliability. A comparison between FSMC, FBSC, PI, and SMC is established in terms of response time, rise time, static error, and performance. The results demonstrate the effectiveness of the designed methods of this study, which rose to 97.472% for FBSC, and 96% for FSMC, against SMC with 91.14%, and PI with 86.2%.