Shcherban A. Computerized monitoring system for electrical provision of an unmanned aerial vehicle

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0420U100365

Applicant for

Specialization

  • 05.13.05 - Комп'ютерні системи та компоненти

11-02-2020

Specialized Academic Board

Д 26.187.02

Institute of Electrodynemics, NAS of Ukraine

Essay

The object of research: the process of monitoring the energy supply and forecasting the flight time of UAVs. The purpose of research: To develop a computerized system for monitoring the supply and consumption of electricity to ensure the unmanned UAV flight. Methods of research: methods of mathematical modeling in the identification of the coefficients of the model of the discharge process; methods of empirical research in conducting experimental tests; methods of experiment planning in the development of a technique for conducting a multifactorial experiment; deductive methods for formulating hypotheses regarding acceptable LPAB temperatures; methods of simulation modeling in the construction of the physico-chemical model of the LPAB and the construction of the decision-making system using fuzzy logic. Theoretical and practical results and innovations: the method of monitoring the condition of the AB, under load, based on the optimal from the point of view of the criteria of minimum and sufficient quantity, a set of controlled parameters and taking into account the real discharge characteristic, has been improved; the simulation model of lithium-polymeric AB was improved, which took into account the peculiarities of the physicochemical processes and the influence of external factors, which made it possible to substantiate the possibility of using the proposed monitoring method to evaluate the real state of the LPAB; For the first time, a mathematical model of the AB discharge process has been developed in the computerized monitoring system that is suitable for the criterion of computational complexity, which makes it possible to predict the residual battery life during the flight of UAVs and to formulate recommendations for further actions; for the first time a decision-making method has been developed in a computerized system for monitoring the state of AB, based on a mathematical apparatus of fuzzy logic; for the first time the structure of a computerized UPS power supply monitoring system based on the control of the output voltage of the UAV of its temperature and wind speed and direction, with the function of predicting the UAV's residual flight time to formulate recommendations for the continuation or termination of its flight task; developed a method for conducting experimental studies of the dynamic discharge of AB under the influence of standard UAV payload; for the first time a methodology for statistical estimation of the accuracy of the results of atypical measurements in accordance with the requirements of international standards was developed, which allowed to build adequate models and increase the accuracy of forecasting of the LPAB resource; on the basis of the theoretical and experimental researches of the discharge of LAB under the influence of real load and factors of influence during the flight of UAV; developed a methodology for predicting the flight time of the latter, which determines the residual AB resource, which serves as a basis for formulating recommendations on the flight task; on the basis of the developed method of monitoring the power supply of UAV, requirements for the composition and accuracy of the elements of the measuring channels and the computing components of the monitoring system are formulated. A subject degree of introduction: used at the State Enterprise "Arizona-Navigation", the Department of Aeronautical Systems of the National Aviation University and the Department of Information and Measurement Technique National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. Effectiveness of implantation: obtained a significant technical and economic effect, which is to increase the reliability of the prediction of battery life for UAVs. Sphere of use: flight monitoring systems for unmanned aerial vehicles and power monitoring of other technical facilities using lithium-polymer batteries.

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