Robust tracking control of attitude satellite with using new SMC and EKF for large maneuvers

Control of a class of uncertain nonlinear systems which estimates unavailable state variables is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include - a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman filter and attitude nonlinear model -a robust controller based on sliding-mode with perturbation estimation. The estimation result of interval Kalman filtering is a sequence of interval estimates that encompasses all possible optimal attitude estimates, which the interval system may generate. The controller combined with an observer will be stable by using sequence of interval estimates in sliding condition of controller. At the end, the simulation results are showing the ability of this method in spite of different uncertainty (up to %50)