Optimization of Individual Blade Control during Helicopter Main Rotor Spin-Up under Wind Conditions

This article considers the problem of optimal individual control of the rotor blade during helicopter main rotor spin-up in wind conditions. The movement of the blade during the main rotor spin-up can be described using a system of differential equations that takes into consideration its combined bending and torsional vibrations. However, performing calculations for such detailed model requires significant computational resources and time, which complicates the practical solution of the optimization problem. Therefore, the mathematical model of combined bending–torsional vibrations of the rotor blade is approximated by an artificial neural network, and using this approximation a search for the optimal control is carried out by the nonlinear programming method. This paper provides the results of a numerical experiment that confirms the applicability of the chosen approach to the problem’s solution.