Study of the System of Route Correction of the UAV Navigation System

Abstract

The research object of this article is a route correction system of an unmanned aerial vehicle. In order to correct the flight path of the UAV under study, an airborne radar system is used. In the case of active jamming, the radar image cannot be used for route correction. Therefore, the onboard navigation system with algorithm correction is proposed. The error compensation scheme of navigation system is used in the output signal, and the prediction model of system error is constructed by the algorithm. The predictive model is constructed using the genetic algorithm and group method of data handling. The quality of algorithms for constructing predictive model is compared by mathematical model. Algorithmic support that functions with the radar system and in conditions of active interference (these signals are unavailable) for the UAV navigation system has been formed. Correction algorithms for autonomous UAV navigation systems including genetic algorithms and prediction algorithms have been developed. The simulation results prove the performance and efficiency of the developed correction algorithm, which shows that the accuracy of navigation system can be improved and the UAV problems can be solved by using this algorithm.