Year: 2025
Type: article
Abstract: The paper proposes a hybrid approach to the safe control of a multicopter swarm in the presence of two moving obstacles based on a combination of the particle swarm algorithm and model predictive control. The first stage of the algorithm is a global search for new target positions of subgroup centers using particle swarm algorithm based on predicted data, which allows the front subgroup to smoothly climb and avoid the danger zone. The second stage is the local adjustment of the movement of each vehicle within the model predictive control, taking into account dynamic constraints, which ensures accurate adherence to the calculated targets and prevents formation disruption. Simulation experiments demonstrate that the developed algorithm ensures coordinated maneuvers of all subgroups, timely avoidance of both moving threats, and return to the original formation without sudden jumps in altitude or chaotic behavior.
Source: Electronics and Control Systems
Authors: Victor Sineglazov, Denys Taranov
Institution: National University "Kyiv Aviation Institute"
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412552697