Compound control system design based on backstepping techniques and neural network sliding mode for flexible satellite

The movement of flexible and rotating parts imposes large disturbances on the satellite, and affects the pointing accuracy and stability of attitude. Considering the cascade structure of satellite dynamics, a tertiary sliding mode controller based on backstepping techniques is used to achieve decoupling between channels and eliminate attitude error, and ensure system stability. At the same time the radial basis function (RBF) neural network algorithm is introduced into controller to estimate the size of uncertainties, it can weaken chattering caused by discontinuous control. Finally, simulation results indicate that the compound controller presented has a small steady error, a fast dynamic response, and an obvious rejection of flexible vibrations and large external disturbances.