Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning-Reference-Cited by-同舟云学术

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Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning

Published:2022-03 Issue: Volume:122 Page:107374
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Han Zengliang^ORCID,Chen Mou,Shao Shuyi,Wu Qingxian

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference58 articles.

1. An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter;Wendel;Aerosp. Sci. Technol.,2020

2. Reduction of GNSS-Denied inertial navigation errors for fixed wing autonomous unmanned air vehicles;Gallo;Aerosp. Sci. Technol.,2022

3. Rotor aerodynamic shape design for improving performance of an unmanned helicopter;Wang;Aerosp. Sci. Technol.,2017

4. Trajectory tracking controller for unmanned helicopter under environmental disturbances;Mario;ISA Trans.,2020

5. Sequential convex programming for nonlinear optimal control problems in UAV path planning;Zhang;Aerosp. Sci. Technol.,2018

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