The Structure Optimization of Bionics Piezoelectric Flapping-Wing

In this study, both aerodynamic and inertial forces acting on a flapping-wing structure were experimentally measured to gain a comprehensive understanding of its dynamic behavior. The Kriging method was applied to develop a surrogate model for the aerodynamic force and deformation of the wing, enabling efficient prediction and optimization of the wing's performance. A genetic algorithm was then employed to optimize the structural design of the flapping wing, focusing on minimizing deformation and maximizing aerodynamic efficiency. The optimization results were validated through error analysis, which confirmed that the Kriging model was effective in capturing the underlying behavior of the system and that the optimization results were both reliable and authentic. Additionally, the mass and structural distribution of the piezoelectric flapping wing were significantly improved, leading to enhanced overall performance. This research plays a pivotal role in the advancement of non-externally powered flight systems, offering valuable insights for the development of energy-efficient flight control algorithms aimed at minimizing power consumption while maintaining optimal flight performance.