Abstract
in this thesis, a flight control design of an unmanned aerial vehicle (UAV) using output redefinition based neutral network control technique is presented. The UAV model chosen is a nonlinear non-minimum phase system. The output redefinition technique is used in a way such that the resulting system is minimum phase and can be inverted.NARMA-L2 neural network is trained off-line to identify the forward dynamics of the UAV model with the redefined output, and then inverted to force the real output to approximately track the desired trajectory. The results show that a good tracking performance can be achieved using this control scheme.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.