A novel combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to improve the performance of a controller in a wind power application

This work suggests a novel nonlinear optimal controller design to control the electromagnetic torque of a horizontal-axis variable-speed wind power that contains three blades connected to the grid. This new controller extends the classical sliding mode by combining it with the fractional calculus and genetic algorithm. To showcase the enhanced performance of this controller, the emulation results in MATLAB were presented. This improved controller gives a high performance in terms of high tracking quality based on an MPPT (maximum power point tracking) algorithm, minimizing the peak of electromagnetic torque, attenuating the mechanical loads on the drive train thanks to mitigating the chattering, fast convergence when using a high switching gain value, removing chattering phenomenon even for high switching gain values, and ensuring more stability.