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Li, Peng (author), Liu, Di (author), Xia, Xin (author), Baldi, S. (author)
The operation of Unmanned Aerial Vehicles (UAVs) is often subject to state-dependent alterations and unstructured uncertainty factors, such as unmodelled dynamics, environmental weather disturbances, aerodynamics gradients, or changes in inertia and mass due to payloads. While a large number of autopilot solutions have been proposed to operate...
conference paper 2022
document
Baldi, S. (author), Sun, Danping (author), Xia, Xin (author), Zhou, Guopeng (author), Liu, Di (author)
This article presents an adaptive method for ArduPilot-based autopilots of fixed-wing unmanned aerial vehicles (UAVs). ArduPilot is a popular open-source unmanned vehicle software suite. We explore how to augment the PID loops embedded inside ArduPilot with a model-free adaptive control method. The adaptive augmentation, adopted for both...
journal article 2022