Development of an information measuring and control system for a quadrocopter
https://doi.org/10.32362/2500-316X-2021-9-6-26-36
Abstract
The article deals with the issues of synthesis and analysis of information-measuring and control systems of quadrocopters. The main sensors and modules used to determine the parameters of the coordinates of quadrocopters are given. The speed-controlled electric drives used for control and the features of their choice are considered. The coordinate systems (fixed and mobile) and the kinematic scheme are given, according to which a system of differential equations is presented. The system describes the dynamics of the quadrocopter movement and takes into account the expected smooth movement of the quadrocopter with small roll and pitch angles. A functional scheme and a mathematical model of the information-measuring and control system of the quadrocopter in the form of a block diagram are developed taking into account the influence of delays in the receipt of information from the sensors of the quadrocopter parameters. A special feature of this work is to take into account the specific characteristics of the elements: adjustable electric drives (both direct and alternating current), parameter sensors (barometers, accelerometers, rangefinders, etc.). The paper studies an illustrative algorithm for the operation of the informationmeasuring and control system of the quadcopter. The type and parameters of the controllers of the quadrocopter control systems are determined. Special attention is paid to the settings for the control contours at the corresponding coordinates. The influence of the controllers of the coordinate control systems of the information-measuring and control systems of the quadrocopter on the effects of the interaction of coordinates is considered. The simulation results are presented. The optimal number of control loops for the coordinates of the information-measuring and control systems of the quadrocopter and the optimal type of settings for obtaining smooth transients (without overshoot) and for excluding the interaction of coordinates on quality indicators are determined.
About the Authors
V. V. SleptsovRussian Federation
Vladimir V. Sleptsov, Dr. Sci. (Eng.), Professor, Department of Instruments, Information and Measurement Systems, Institute of Integrated Safety and Special Instrument Engineering
78, Vernadskogo pr., Moscow, 119454 Russia
V. L. Afonin
Russian Federation
Vyacheslav L. Afonin, Dr. Sci. (Eng.), Chief Researcher
4, Maly Kharitonyevsky pereulok, Moscow, 101990 Russia
A. E. Ablaeva
Russian Federation
Anna E. Ablaeva, Senior Lecturer, Department of Instruments, Information and Measurement Systems, Institute of Integrated Safety and Special Instrument Engineering
78, Vernadskogo pr., Moscow, 119454 Russia
Ba Phuong Dinh
Russian Federation
Dinh Ba Phuong, Postgraduate Student, Department of Instruments, Information and Measurement Systems, Institute of Integrated Safety and Special Instrument Engineering
78, Vernadskogo pr., Moscow, 119454 Russia
References
1. Bondarev A.N., Kirichek R.V. Overview of unmanned aerial apparatus for general use and regulation of air UAV movement in different countries. Informatsionnye tekhnologii i telekommunikatsii = Telecom IT. 2016;4(4):13−23 (in Russ.). Available from URL: https://www.sut.ru/doci/nauka/review/20164/13-23.pdf
2. Podrezov Yu.V. Features of the use of unmanned aerial vehicles to monitor the forest fire emergency situations. Problemy bezopasnosti i chrezvychainykh situatsii = Safety and Emergencies Problems. 2019;3:64−72 (in Russ.). Available from URL: http://lamb.viniti.ru/sid2/sid2free?sid2=J17785461
3. Juniper A. The Complete Guide to Drones: Whatever your budget - Build + Choose + Fly + Photograph. New York: Wellfleet Press; 2016. 144 p.
4. [Juniper A. Drones. Complete practical guide. Moscow: KoLibri; 2019. 159 p. (in Russ.). ISBN 978-5-389-15611-1]
5. Gololobov V.N., Ul’yanov V.I. Bespilotniki dlya lyuboznatel’nykh (Drones for the curious). SaintPetersburg: Nauka i Tekhnika (NiT); 2018. 249 p. (in Russ.). ISBN 978-5-94387-878-7
6. Yushenko A.S., Lebedev K.R., Zabihafar S.H. The adaptive neural network control of quadrotor helicopter. Nauka i Obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana. = Science & Education. Scientific Education of Bauman MSTU. 2017;7:262−267 (in Russ.).
7. Luukkonen T. Modelling and Control of Quadcopter. School of Science. Espoo; 2011. 26 p. Available from URL: https://sal.aalto.fi/publications/pdf-files/eluu11_public.pdf
8. Rokachevsky O.A., Sleptsov V.V., Ablaeva A.E., Dinh Ba Phuong. Synthesis of the height coordinate control loop of the information-measuring and control system of the quadrocopter. Nauchno-tekhnicheskii vestnik Povolzh’ya. = Scientific and Technical Volga Region Bulletin. 2021;1:38−43 (in Russ.).
9. Chulin N.A., Mironova I.V. Control system of unmanned aerial vehicle. Inzhenernyi zhurnal: nauka i innovatsii = Engineering J: Science and Innovation. 2018;9(81):1−11 (in Russ.). https://doi.org/10.18698/2308-6033-2018-9-1802
10. Kulikov G.V., Tambovsky S.S. Assessment of the quality of communication with the UAV in urban terrain. Vestnik MGTU MIREA = Herald of MSTU MIREA. 2015;1(6):205−217 (in Russ.).
11. Solov’ev V.V., Finaev V.I., Shadrina V.V., Pushkina I.V. Navigation for communication in a group of vehicles. Izvestiya YUFU. Tekhnicheskie nauki = Izvestiya SFedU. Engineering Sciences. 2018;3(197):102−111 (in Russ.). https://doi.org/10.23683/2311-3103-2018-3-102-112
12. Chugunov M.V., Polunina I.N., Popkov M.A. The quadrocopter design based on integrated model environment. Inzhenernye tekhnologii i sistemy = Engineering technologies and systems. 2019;29(2):169−186 (in Russ.). https://doi.org/10.15507/2658-4123.029.201902.169-186
13. Vysocky V.E., Voronin S.M., Gorshkov R.G. Simulation of electromagnetic and electromechanical processes of thyratron motor. Vestnik IGEU = Vestnik of Ivanovo Power Engineering Institute. 2011;1:54−57 (in Russ.). Available from URL: http://vestnik.ispu.ru/sites/vestnik.ispu.ru/files/publications/54-57_2.pdf
14. Savickij A.V., Pavlovsky V.E. Model of quadrocopter and algorithm of vehicle control based on neural network. Preprinty IPM im. M.V. Keldysha = Keldysh Institute Preprints. 2017;77. 20 p. (in Russ.). https://doi.org/10.20948/prepr-2017-77
15. Pavlovske V.E., Savickij A.V. The solving of the inverse problem for computation control action for quadrocopter. Preprinty IPM im. M.V. Keldysha = Keldysh Institute Preprints. 2017;17. 19 p. (in Russ.). http://doi.org/10.20948/prepr-2017-17
16. Krasovskij A.N., Suslova O.A. On the optimal control of the movement of a drone - quadrocopter by the criterion of the quality of energy consumption. Uspekhi sovremennoi nauki i obrazovaniya = Achievements of modern science and education. 2017;4(3):193−197 (in Russ.).
17. Savin S.I., Vorochaeva L.Yu., Savin A.I. Optimal trajectory generation for a quadrotor using convex programming. Vestnik VGTU = The Bulletin of Voronezh State Technical University. 2018;14(5):54−63 (in Russ.). Available from URL: https://cchgeu.ru/science/nauchnye-izdaniya/vestnik-voronezhskogogosudarstvennogo-tekhnicheskogo-universiteta-/bulletin-ofvoronezh-state-technical-university/the-issues-of-the-journalthe-bulletin-of-voronezh-state-technical-university/14_5.pdf
18. Garipov V.K., Prokuratov I.I., Sleptsov V.V. IIUS elektroprivodov dlya avtomatizirovannogo proizvodstva (Information-Measuring and Control Systems of Electric Drives for Automated Production). Saarbrucken: Lap Lambert, Academic Publishing; 2014. 131 p. (in Russ.).
Supplementary files
|
1. General view of a typical quadcopter | |
Subject | ||
Type | Исследовательские инструменты | |
View
(18KB)
|
Indexing metadata ▾ |
A functional scheme and a mathematical model of the information-measuring and control system of the quadcopter in the form of a block diagram are developed taking into account the influence of delays in the receipt of information from the sensors of the quadcopter parameters. A special feature of this work is to take into account the specific characteristics of the elements: adjustable electric drives (both direct and alternating current), parameter sensors (barometers, accelerometers, and rangefinders)
Review
For citations:
Sleptsov V.V., Afonin V.L., Ablaeva A.E., Dinh B. Development of an information measuring and control system for a quadrocopter. Russian Technological Journal. 2021;9(6):26-36. https://doi.org/10.32362/2500-316X-2021-9-6-26-36