A nonlinear generalized minimum variance (NGMV) optimal controller is presented in this paper, which achieves tracking control of an Osprey fixed-wing aircraft with parameter uncertainties and unmodeled nonlinear disturbances. The optimal strategy involves minimizing a signal that includes the sum of the weighted tracking error and the weighted control effort. The input subsystem utilized in the dynamic model is very general and nonlinear. The reference model is represented as a linear subsystem, and the states are estimated using a modified linear Kalman filter. A benefit of the proposed NGMV optimal controller is that it is designed to be easily implementable and computationally minimal, requiring no online optimization. Finally, simulations of tracking control for an Osprey fixed-wing aircraft are provided and the performance of the proposed NGMV control law is compared with a proportional–integral–derivative (PID) controller.


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    Title :

    Asymptotic Tracking for an Osprey Fixed-Wing Aircraft via Nonlinear Generalized Minimum Variance Control


    Contributors:

    Published in:

    Publication date :

    2020-03-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown