Control of the Selection Criteria of the Self-Organization Algorithm in the Problems of Correcting the Navigation Systems of Maneuverable Aircraft

The problem of constructing models with the desired properties, which are used in the algorithmic support of the sighting and navigation complex of the aircraft, has been studied. The quality of the used mathematical models largely determines the accuracy of the correction of the sighting and navigation system, therefore it is proposed to build models directly during the flight using some evolutionary algorithm. For example, using a self-organization algorithm. The ensemble of selection criteria for the self-organization algorithm includes various criteria that determine the properties of the selected models. Depending on the field of application of the models, they are given the desired properties by means of a self-organization algorithm with a variable ensemble of selection criteria. The selection ensemble consists of general, special criteria, as well as a controlled combination of qualitative criteria that selectively improve the performance of models. When the flight mode changes, the influence of one or another special criterion on the process under study changes. The change in the ensemble of selection criteria for the self-organization algorithm occurs automatically during the flight. Degrees of observability, controllability and parametric identifiability are used as improved qualitative characteristics. Over time, the degree of observability, controllabi lity, and parametric identifiability may change. Components that were well observable over time can become poorly observable. The weakly observable components of the state vector, although they are formally observable, in practice are not processed by estimation algorithms, since their evaluation is possible only on sufficiently large intervals of the system operation. A similar situation develops with models in the study of the quality of their controllability, as well as with the parameters of models during their identification. An algorithm for controlling the quality selection criteria and a diagram of the algorithm for generating models during the correction of a promising sighting and navigation complex of an aircraft are presented. Mathematical modeling has been carried out for various flight modes of the aircraft, such as straight flight, flight at different altitudes. The results of the simulation showed the efficiency and effectiveness of the proposed algorithmic solutions

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