Analysis and Optimization of Flapping-Wing Mechanism Based on Genetic Algorithm

Inspired by the wing-flapping action of birds, this study considers the inherent dynamics among vehicle mechanisms to optimize the vehicle's geometric parameters. The goal is for the vehicle to imitate the wing-flapping action of birds while minimizing energy consumption and the peak torque during flapping. To accomplish this, a dynamics model and an energy consumption model are established for the vehicle drive mechanism, followed by a multi-objective optimization under the boundary conditions of each parameter. Because of the complexity of the model, a mathematical tool that combines the genetic algorithm with the augmented Lagrange multiplier method is adopted in the optimization process. Simulation results show that the optimized energy consumption and peak moments are reduced. The proposed method provides a theoretical basis for designing a reliable flap-winged vehicle with reasonable parameter choices.