Modelization and kinematics optimization for a flapping-wing microair vehicle

OSCAB, a flight-dynamics-oriented simulation model of a flapping-wing microair vehicle, is presented here. This concept is based on flapping flight performed in nature by insects or hummingbirds. The model features two independent wings and integrates the aerodynamic forces computed along each wing to determine the global motion of the microair vehicle with respect to an inertial reference frame. A comparison between our simulation model and previous experimental measurements is presented, showing that it can reproduce the influence of the wing rotation phasing on the total lift. An optimization of the flapping kinematics of the wing has also been conducted to maximize the mean lift. A neural network has been designed to reproduce various function shapes modeling the wing movements. The parameters of this network have been optimized with a genetic algorithm to avoid local extrema. Results show a lift gain from 30 to 40%, corroborating previous experiments.