Abstract:

A predictive attitude control law for entry vehicles based on the extended states observer (ESO) is proposed. Attitude dynamics system is divided into attitude angle subsystem and attitude angle rate subsystem, which reduces the order of state equations. Then controllers are designed for each subsystem. Based on the dynamic inverse method the state equations are linearized. Then an analytical optimal predictive control law is deduced. To improve the robustness, ESO is introduced to estimate the model error and external disturbance. In the simulation of 6 freedom motion, the control law in this paper performs a good effect.