Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach

Abstract

In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.