Velocity control system of autonomous airship based on adaptive dynamic inversion

A kind of design method of velocity control system is proposed based on dynamic inversion and neural network, according to the problem of velocity control for unmanned autonomous airship. Duo to the scheme of buoyancy control system in the airship, the flight kinematics model was established based on forces acted on the airship. After a reference model was introduced, the dynamic inversion of nonlinear control system was obtained through a training neural network. Applied the nonlinear error information, the errors caused by the inversion and the dynamic characteristic of control system were compensated adaptively. Finally an illustrative example is given to show that the proposed control scheme can adapt well to large-scale variation of model parameter perturbation and wind turbulence, and the valid of velocity control system is verified.