Dynamic output feedback fuzzy sliding mode learning attitude control for hypersonic flight vehicle with actuator rate constraint

By considering the actuator rate constraint and measurable output of hypersonic flight vehicle’s (HFV) attitude system, a dynamic output feedback sliding mode learning controller (DOFSMLC) is proposed in this paper. The proposed DOFSMLC can solve the controller design of nonlinear system with incomplete measurable state, system uncertainties and input rate constraint simultaneously. The nonlinear model of HFV’s attitude system is firstly represented by T-S fuzzy model, then the actuator rate constraint is proposed. Based on the original tracking control objective of HFV’s attitude system, the control objective of the T-S fuzzy model is built. Then a dynamic output feedback (DOF) based sliding surface is design and the stability of the designing sliding surface is guaranteed by selecting appropriate dynamic feedback parameters. A traditional discontinuous reaching law is deigned without considering the actuator rate constraint, and then a sliding mode learning control (SMLC) with iterative updating law is designed. By the designed SMLC, the actuator rate constraint and the system stability requirements can be guaranteed synchronously.