Bionic light-weight grid surface wing structure design for a solar-powered UAV

A two-step implicit cellular-based evolutionary topology optimization method is implemented for the plane-like structure design. In the first step, a homogenization method based on the ground structure is implemented to get the materials distribution data from the design domain. In the second step, a graph-based interpretation for the bionic path searching is applied to the cellular structure topology generation. A heuristic alternative to this approach couples a genetic algorithm with the split point finding rules in the hierarchical structure system, which encodes design variables and governs the development of the structure when coupled with an interpreter to translate genomic information into structural topologies. The framework allows a short number of design variables to express the number of feasible solutions within the design spaces. A detailed solar-powered UAV wing structure design is demonstrated at last for this method implementation.