A Longitudinal Fuzzy Variable Parameter Model Based on Sector Nonlinearity

We study a longitudinal fuzzy variable parameter model of Mars probe using sector nonlinearity. Compared with the traditional longitudinal dynamic model, we overcome the shortcoming of the sharp increase in the number of fuzzy rules when the traditional T-S fuzzy model describes time-varying system and reduce the complexity of the model by means of linearization. Then we design a full state feedback and a dynamical output feedback gain-scheduling controllers based on the quadratic Lyapunov stability theorem for the Mars probe’s entry phase. Finally, the simulation results from Matlab are used to demonstrate the superiority of the model.