Fuzzy Control of Nonlinear Air-Breathing Hypersonic Vehicles

Abstract

Air-breathing hypersonic vehicles (AHVs) are a promising and cost-efficient technology for launching low-earth-orbit satellites and providing rapid globalresponse capabilities [55]. As the application of air-breathing scramjet engines [30, 85], AHVs can carry more payload than traditional expendable rockets, because the scramjet engines can obtain oxygen from atmosphere rather than carrying it. The design of guidance and control systems for AHVs is challenging due to significant aero-thermo-elastic-propulsion interactions, strong couplings between propulsive and aerodynamic forces, extreme range of operating conditions and rapid change of mass distribution. In addition, the requirements of flight stability and high speed response, the existence of various random interference factors and large uncertainties make it more difficult [162, 216].