Title: Optimal path planning of UAV using grey wolf optimiser

Authors: M.S. Soundarya; Danashaker K. Anusha; P. Rohith; Kavitha Panneerselvam; Seshadari Srinivasan

Addresses: VIT University, Vellore, Tamil Nadu 632014, India ' VIT University, Vellore, Tamil Nadu 632014, India ' VIT University, Vellore, Tamil Nadu 632014, India ' VIT University, Vellore, Tamil Nadu 632014, India ' VIT University, Vellore, Tamil Nadu 632014, India

Abstract: This paper aims at proposing a novel approach for path planning of unmanned aerial vehicle (UAV) along with obstacle avoidance. The path planning is achieved through swarm intelligence algorithm inspired by the behaviour of grey wolves known as grey wolf optimiser (GWO). The optimal path planning of UAV using GWO is obtained by proper choice of objective function for targets and obstacle avoidance condition. The algorithm has three search agents namely alpha, beta and gamma which help in proper convergence of solution to the target while avoiding obstacle. The proposed approach is tested with different test cases of target and obstacles conditions and the simulated results have been reported. Simulation is carried out in MATLAB environment.

Keywords: grey wolf optimiser; GWO; path planning; unmanned aerial vehicle; UAV.

DOI: 10.1504/IJCSYSE.2019.100732

International Journal of Computational Systems Engineering, 2019 Vol.5 No.3, pp.129 - 136

Received: 02 May 2017
Accepted: 02 Nov 2017
Published online: 17 Jul 2019 *

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