Nonlinear adaptive inversion control with neural network compensation for a longitudinal hypersonic vehicle model

The focus of this paper is on nonlinear adaptive inversion control system of a longitudinal hypersonic vehicle model with neural network compensation for uncertain effects. Considering the partially unknown model dynamic for hypersonic vehicle, and the adaptive dynamic inversion control method with neural network compensation is presented, which can compensate the hypersonic vehicle model errors by the neural network output adjusted on line. Simulation results demonstrate that the nonlinear adaptive inversion control can guarantee the flight stability and also maintain the tracking performance.