Tracking Control for a Non-Minimum Phase Autonomous Helicopter

This paper develops a general control algorithm for precision output tracking of nonlinear non-minimum phase dynamics of an autonomous three degree-of-freedom unmanned helicopter. Previous approaches in ight control literature have shown approximate tracking by neglecting the coupling between the forces and moments generated by the control eectors. However, it is shown that this coupling is signicant in the model under study and cannot be neglected. In this paper the coupling is retained and natural time-scale decomposition of the vehicle model is employed for accomplishing asymptotic tracking. The design procedure determines the desired internal state trajectory and the control scheme to stabilize the helicopter in hover. Stability is analyzed using Lyapunov methods and results show that the approach is able to accomplish perfect tracking while stabilizing the closed-loop system and keeping all closed-loop signals bounded.

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