Finite‐time extended state observer‐based sliding mode control of near‐space vehicle systems

Abstract This brief is aimed to deal with the intelligent control problem of near‐space vehicle (NSV) systems, where the sliding mode control (SMC) frame based on a finite‐time extended state observer (FTESO) is adopted. First, a Takagi‐Sugeno (T‐S) fuzzy model is used to capture the nonlinear dynamics of NSV systems. Second, a FTESO is devised to estimate state and nonlinear external perturbation. Third, a robust SMC algorithm based on estimated state and external disturbance is designed to realize the attitude angle tracking target of the NSV system. In the simulation part, a re‐entry NSV control task is utilized to illustrate the effectiveness of the proposed control algorithm.