Advertisement
Published in:
2013 | OriginalPaper | Chapter
Aggressive Manuevering of Unmanned Helicopters: Learning from Human Based on Neural Networks
Authors : Dalei Song, Chong Wu, Juntong Qi, Jianda Han
Published in: Intelligent Autonomous Systems 12
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
“Teaching by Showing” control of a small helicopter’s aggressive maneuvering often needs inner aided controllers based on helicopter’s dynamics, which is very complex to identify. In this paper, a neural network based control is proposed, based on the identification of the relationship between the pilot’s control and flight states, and it is a model-free control method. Flight test is done in simulation environment based on real flight data. The results show the effectiveness of the neural network based controller for aggressive flight control.