Wind Turbine Blade Design Using Wilson's Method

Wind turbine blade design using Wilson's method represents an optimization approach for blade design. This methodology employs MATLAB's fmincon function, a constrained nonlinear optimization solver, to determine optimal axial and tangential induction factors. The implementation typically involves defining objective functions that minimize power losses while satisfying constraints related to blade geometry and aerodynamic performance. Through this optimization process, we can maximize blade performance and efficiency, ultimately enhancing the power generation capacity and overall efficiency of wind turbines. The fmincon function operates by iteratively adjusting induction factors while respecting boundary conditions and convergence criteria. Additionally, this optimization framework can be extended to other engineering domains such as aerospace and automotive industries, demonstrating broad application prospects for constrained optimization problems in various technical fields.