On one approach to small UAV flight control system design based on reduced-order observer

This paper is devoted to the flight control system design for the longitudinal motion of the “benchmark” model of Unmanned Aerial Vehicle in the presence of external stochastic disturbances and incomplete measurements of state variables. To solve this problem the parametric optimization procedure used for determination of the desirable location of the reduced-order observer (Luenberger filter) poles, needed to restore the state variables, and the values of weight matrices needed to optimal deterministic controller design is proposed. As the function which should be minimized the performance index H2-norm is used. Efficiency of the proposed procedure is proved with the help of simulation.