In this paper,a new adaptive finite-time tracking controller is proposed to solve the attitude tracking problem of the spacecraft system with full-state constraints,so as to eliminate the computational complexity caused by the derivative of virtual signals in the classical backstepping method and ensure that all states in the spacecraft system are limited in the design areas.For the un-known part of the nonlinear model of the spacecraft system,the neural network is used for approximation.On this basis,the error compensation mechanism is designed to compensate the filtering errors.The barrier Lyapunov function is used to prove that the atti-tude of the spacecraft can still track the desired signal with a certain accuracy in finite time,despite there is input saturation.Finally,the control method is verified by simulation.
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