A Framework for Simulation and Testing of UAVs in Cooperative Scenarios
Journal of Intelligent and Robotic Systems
Formation control of marine veihicles via real-time Networked Decentralized MPC
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Distributed receding horizon control for multi-vehicle formation stabilization
Automatica (Journal of IFAC)
Towards composable robotics: the R3-COP knowledge-base driven technology platform
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
Journal of Intelligent and Robotic Systems
Hi-index | 0.00 |
Unmanned Aerial Vehicles (UAVs) are gaining increasing interest thanks to their flexibility and versatility. However, these systems are very complex and a good simulation platform is needed. In this paper, a new Framework for simulation and fast prototyping of UAV control laws is presented. The Framework exploits the high realism of the simulations carried out in a three-dimensional virtual environment with the easiness of use of development systems such as Matlab庐 for fast prototyping of control systems. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for cooperative scenarios is introduced. The obtained results show good performances of MPC in solving the formation problem of unmanned aerial vehicles; finding an optimal solution and taking into account different constraints. The developed framework allows also to easily change from simulated agent to real聽one.