Design and simulation of self-adaptive flight control system for unmanned rotor-wing aircraft

In order to design the flight control system of unmanned rotor aircraft which can adapt to different flight tasks, the principle of model inverse controller is discussed. The Neural network compensation controller and its weight coefficient on-line algorithm are presented, and the stability of the integrated controller is analyzed. The inverse controller of rotational dynamics and the inversion dynamic inverse controller for unmanned rotor aircraft are derived. The attitude Inner Loop controller and the trajectory Outer loop controller are designed, and the control allocation strategy of the co-axial rotor speed driving motor is determined. The combined maneuvering flight subjects are planned to simulate the automatic flight mission. The simulation results show that the adaptive flight control system has the horizontal vertical motion to the unmanned rotor aircraft. Flight control capability for hover and heading motions. The results show that the designed flight control system is adaptive and robust, and can realize the stability and tracking control of attitude and trajectory.


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Design and simulation of self-adaptive flight control system for unmanned rotor-wing aircraft