Robust spacecraft attitude control using fuzzy CMAC

In this paper, we propose to use a new neural network called fuzzy CMAC (cerebellar model arithmetic computer) to tackle the attitude control problem. The advantages are no linearity in the system parameter assumption is needed and no upper bounds of unknown parameters is required. An online tuning scheme with no off-line training phase is used to update the weights in the neural network. Attitude tracking errors are guaranteed to be bounded.