UAV Flight Performance Optimization Based on Improved Particle Swarm Algorithm

Abstract

As the energy problem becomes more and more serious, it is necessary to do research on energy saving. In order to achieve the desired height economically and quickly, the two key factors of fuel consumption and time cost are considered. First, the mathematical model of UAV’s climbing trajectory is established, the fuel consumption and time cost are considered as the performance optimization indexes. Second, the UAV’s performance optimization method based on the improved particle swarm algorithm is proposed, then the problem of UAV’s performance optimization is turned into the problem of constrained multi-parameter optimization, and the climbing trajectory with the optimal comprehensive index is determined. Finally, the proposed method is used in a certain type of UAV, and the simulation results show, compared with the conventional method, the proposed method saves more operation costs and has better superiority.