Chebyshev neural network-based finite-time sliding mode control of spacecraft formation

The problem of finite time control of spacecraft formation is investigated in this paper. A nonsingular fast terminal sliding mode (NFTSM) control scheme is proposed by using Chebyshev Neural Network (CNN) for spacecraft formation. A nonsingular fast terminal sliding mode (NFTSM) control strategy is designed for spacecraft formation flying. In order to approximate the desired nonlinear function and external disturbances a CNN is employed. In addition, finite-time convergence nature of controller is proved by using Lyapunov stability theory. Finally, numerical simulations demonstrate the effectiveness and feasibility of the proposed controller.