Addressing UAV Communication Latency: A Simulation Approach with Networked Model Predictive Control in CoppeliaSim and Mininet-wifi
Abstract
This paper investigates the effect of communication latency on UAVs controlled over wireless networks. We introduce a Networked Model Predictive Control (MPC) framework in MATLAB/Simulink to mitigate delay effects. A virtual environment combining CoppeliaSim, and Mininet-Wifi is used to emulate real-time UAV operations under varying latency. The UAV is connected to a Ground Control Station (GCS) through an emulated wireless network, and communication response times are measured. Results show that the Networked MPC significantly improves UAV flight stability, preventing degradation and control surface saturation observed in scenarios without delay compensation. This demonstrates the effectiveness of Networked MPC in ensuring safe UAV operations under dynamic wireless communication conditions.
Keywords:
5G mobile communication, Wireless networks, Dynamics, Virtual environments, Predictive models, Autonomous aerial vehicles, Real-time systems, Delays, Vehicle dynamics, Predictive control, UAV, Wi-fi Network, Network Model Predictive Controller and Simulation
Published
2024-11-09
How to Cite
BARROS, Mateus Rodrigues de; SOARES, Igor Mayer; MARCONDES, Cesar.
Addressing UAV Communication Latency: A Simulation Approach with Networked Model Predictive Control in CoppeliaSim and Mininet-wifi. In: BRAZILIAN SYMPOSIUM ON ROBOTICS AND LATIN AMERICAN ROBOTICS SYMPOSIUM (SBR/LARS), 21. , 2024, Arequipa/Peru.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 196-201.
