Information fusion algorithm based on Intelligent Algorithm for multiple UAVs information interaction deception

摘要

This paper is devoted to designing a kind of UAV robust information interaction detection and tracking control system suitable for external interference suppression. Firstly, model UAV rotor as linear parameter-varying system (LPV), take it as an objective to make system design, and consider information interaction detection and isolation scheme through an observer library, to detect and isolate sensor information interaction. Then, improve a kind of existing adaptive variable space algorithm, introduce the algorithm thought into improvement of particle swarm optimization, and when evolutional generation of population reaches to an integer multiple of a preset period, automatically expand or shrink the size of search space according to improved adaptive variable space algorithm, which automatically seeks for proper search space, improves convergence rate and accuracy, and effectively prevents precocious convergence of particle swarm optimization. Finally, effectiveness of the algorithm is verified through experiment in simulation model.