Design and Simulation of an Adaptive Flight Control System for Unmanned Rotorcraft

The principle of the model inverse controller is discussed in order to design an unmanned rotorcraft flight control system applicable to different mission tasks. A neural network compensation controller and online algorithms of its weight coefficients are proposed, and the stability of the synthesized controller is analyzed. The rotational dynamics inverse controller and translational dynamics inverse controller for the unmanned rotorcraft are deduced. The attitude inner loop controller and trajectory outer loop controller are designed. The control distribution strategy of the driving motor is determined to control the speed of coaxial rotor. A combined maneuver flight mission task is planned to imitate automatic flight motion. The adaptive flight control system is verified with simulation, and the flight control abilities of horizontal and vertical motion, hover and heading motion are demonstrated and validated. These results show that the designed adaptive flight control system has adaptability and robustness, and can realize attitude stability and trajectory following.