|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 172 - Issue 7 |
| Published: Aug 2017 |
| Authors: Meisam Khakshour, Nima Nourani |
10.5120/ijca2017915179
|
Meisam Khakshour, Nima Nourani . Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors. International Journal of Computer Applications. 172, 7 (Aug 2017), 18-24. DOI=10.5120/ijca2017915179
@article{ 10.5120/ijca2017915179,
author = { Meisam Khakshour,Nima Nourani },
title = { Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 172 },
number = { 7 },
pages = { 18-24 },
doi = { 10.5120/ijca2017915179 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Meisam Khakshour
%A Nima Nourani
%T Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors%T
%J International Journal of Computer Applications
%V 172
%N 7
%P 18-24
%R 10.5120/ijca2017915179
%I Foundation of Computer Science (FCS), NY, USA
A novel leader-following strategy based on fuzzy logic is introduced to design a formation flight controller for unmanned quadrotors. The proposed strategy uses particle swarm optimization (PSO) to optimize the fuzzy membership function in the guidance law, and a nonlinear dynamic inversion (NDI) controller is designed to control the nonlinear dynamics of the quadrotor. The simulation results show the proposed method has significant advantages in comparison with conventional leading-following strategies in terms of robustness against wind gusts, uncertainties, and unknown dynamics.