Mamchur Y. Inverse problems of dynamics in the training complex of a remotely piloted aircraft for environmental monitoring

The dissertation is devoted to improvement of information and software support of a trainers' complex of remotely piloted aircraft for environmental monitoring. Methods, models, and algorithms that increase the efficiency of pilot training for remotely piloted aircraft for environmental monitoring are proposed in the dissertation. The analysis of ways and directions to improve the quality of remotely piloted aircraft operators' training is performed. Criteria for the effectiveness of UAV (unmanned aerial vehicle) operators' training on an environmental monitoring simulator are proposed. The analysis of the structure of the training complex and its algorithmic support in the flight control of an unmanned aerial vehicle for environmental monitoring is carried out. Special aspects of the development of an automated flight control system for UAV of environmental monitoring are considered. The technology of the smart load of the UAV operator on the simulator with environmental monitoring of critical infrastructure is proposed. The formalization of the task of optimal UAV routes formation for the environmental monitoring of several objects during one flight has been completed. A method for the synthesis of UAV control algorithms on the simulator for environmental monitoring has been developed. The modeling and assessment of the quality of training of the UAV operator at the training complex of environmental monitoring were carried out. The scientific and methodological apparatus was developed to train UAV operators for environmental monitoring in the event of abnormal (emergency, catastrophic) situations. The practical use of the proposed software and algorithms for the UAV simulator, based on solving inverse dynamics problems, makes it possible to increase the training efficiency of UAV operators when performing environmental monitoring tasks, especially in abnormal situations.