Abstract
In order to solve the problem of trajectory optimization of Space Maneuver Vehicle (SMV), a dynamic neural network method is introduced. Combined with neural network and Pontryagin's maximum principle, the method is able to approximate the optimal solution by neural network. At the same time, with the dynamic process, the problem of guessing covariates' initial value in traditional indirect method has been solved fairly well. In this work, the principle of the Dynamic Neural Network (DNN) optimal algorithm has been given and the optimization process has been described in detail. The simulation results indicated that using Dynamic Neural Network optimal algorithm can avoid guessing the covariates' initial value and satisfy the real-time requirements. Moreover, it has a higher accuracy solution.
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