Analysis of logic-time characteristics of subsystem supply functioning hardware elements of unmanned aerial vehicles

9th International Multidisciplinary Scientific and Research Conference "Modern Issues in Science and Technology" Workshop "Advanced Technologies in Aerospace, Mechanical and Automation Engineering"

自然科学;工业技术

Testoedov, Nikolay A.^1 ; Kovalev, Igor V.^3,4,5 ; Foner, Maja^2 ; Voroshilova, Anna A.^4,5 ; Losev, Vasily V.^4

JSC Academician M F Reshetnev Information Satellite Systems, 52 Lenin street, Zheleznogorsk, Krasnoyarsk region

662972, Russia^1

Faculty of Logistics, Maribor University, 7 Mariborska street, Celje

3000, Slovenia^2

Siberian Federal University, 79 Svobodny avenue, Krasnoyarsk

660041, Russia^3

Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk

660037, Russia^4

Krasnoyarsk Science and Technology City Hall, Russian Union of Scientific and Engineering Associations, 61 Uritskogo street, Krasnoyarsk

660049, Russia^5

关键词: Automated process control systems;    Closed loop models;    Information signals;    Information transmission;    Onboard control systems;    Parametric identification;    Primary converter;    Temporal characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/450/2/022002/pdf
DOI  :  10.1088/1757-899X/450/2/022002

来源: IOP

【 摘 要 】

To obtain the logical and temporal characteristics of the model of control loop process variable, an analysis of the subsystem hardware of the autonomous unmanned object onboard control system was conducted. The problem of time delays in the information transmission from the primary converter to the control element in automated process control systems is considered as equivalent of the subsystem of the onboard control system of an autonomous unmanned object. At present, there are no methods for estimating the effect of time delays of an information signal on the response time of a control loop, which leads to inefficient use of system resources. The increased time interval between the change in the process variable and the control effect can also lead to negative consequences. Parametric identification of individual nodes with subsequent compilation of a closed loop model by a separate parameter is selected as a tool for system analysis.