Control model of acousto-optic deflector based on radial basis function neural network

As a high-speed non-mechanical beam steering technology,acousto-optic deflection has attracted more and more attention in the field of satellite optical communication recently.The beam steering control algorithms of acousto-optic deflector are based on a radial basis function(RBF) neural model.The ideal control model is established by optimizing the parameters and structure of the RBF neural network through training.Study results show its reliability and accuracy of the proposed control model.