Title: Fusion algorithm for information interaction control of multi-UAVs based on intelligent algorithm

Authors: Chen Guangming

Addresses: Faculty of Business and Management, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China

Abstract: This paper is devoted to designing a kind of UAV robust information interaction detection and tracking control system suitable for external interference suppression. Firstly, a model UAV rotor is viewed as a Linear Parameter-Varying (LPV) system, 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 optimisation, 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 premature convergence of particle swarm optimisation. Finally, effectiveness of the algorithm is verified through experiment in simulation model.

Keywords: information interaction; control fusion; particle swarm optimisation.

DOI: 10.1504/IJCAT.2019.102107

International Journal of Computer Applications in Technology, 2019 Vol.61 No.1/2, pp.107 - 111

Received: 25 Aug 2018
Accepted: 29 Nov 2018

Published online: 02 Sep 2019 *

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