Research on UAV power inspection trajectory optimization algorithm
Zhicheng Wu · 2023
This paper proposes a climbing trajectory optimization method based on an adaptive genetic algorithm to address the problem of slow convergence and susceptibility to local optimal solutions in the current UAV (unmanned aerial vehicle) climbing trajectory optimization algorithm. Firstly, an optimization model for the climbing trajectory segment is established based on the motion equation and performance index of the UAV climbing platform. Secondly, the adaptive genetic algorithm is improved to enhance the diversity of chromosomes and the convergence speed of the algorithm, making it more suitable for optimizing the climbing trajectory. Finally, specific optimization steps are provided according to the characteristics of the UAV climbing trajectory, and a simulation verification of the climbing trajectory of a certain type of unmanned aerial vehicle is conducted. The results indicate that this method can save operating costs to a certain extent.