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.
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