Profile-tracking entry guidance using adaptive global sliding mode control theory

Profile-tracking guidance of Reusable Launch Vehicle (RLV) is a challenging task due to dramatic aerodynamic data perturbations. A novel adaptive global sliding mode control (AGSMC) scheme is developed so that the closed-loop system shows invariance property to parameter uncertainties all the time. The approach designs a global sliding mode surface based on optimization theory and uses adaptive technology to estimate the uncertain items of the system so as to alleviate the chattering. Numerical simulations for profile-tracking under the condition of aerodynamic data perturbations are presented to demonstrate the capability and effectiveness of the proposed algorithm.