Algorithms of constructing models for compensating navigation systems of unmanned aerial vehicles

The problem of compensating autonomous navigation systems with predictive algorithms was studied. For the purpose of high-precision compensation, the method of constructing nonlinear models, i.e. modified self-organization algorithm with redundant trends, was proposed with the help of identification of basic functions. The results of mathematical modeling of inertial navigation system errors with predictive algorithms demonstrated the effectiveness and high-accuracy of proposed algorithms for constructing models.