Adaptive recursive sliding mode Dynamic Surface Control of hypersonic vehicle

Abstract

A adaptive recursive sliding mode Dynamic Surface Control (DSC) method is proposed for hypersonic vehicle. Based on the hypersonic vehicle model characteristics, the adaptive recursive sliding mode DSC attitude controller and the neural networks dynamic inversion velocity controller are designed, respectively. Via designing recursive sliding mode surface, the tracking error in the preceding step is considered into the next control law so that the design synthesizes the interaction of the tracking error in each subsystem. By this way, the problem of being fragile to the perturbation in the filter time constant is solved efficiently. Neural networks are directly used to approximate the virtual control signal, which simplifies the control law design and reduces the number of updating parameters. Simulation results show that the new controller can guarantee the expected tracking performance and improve the robustness to the perturbation in the filter time constant.