Information System of the Robotic Towing Airfield System

Relevance. The development of aviation technology is associated with the development of new means that directly ensure the movement of aircraft (AF) at the airfield. To carry out ground maneuvers with aircraft, towing airfield systems (UAS) are used, which can significantly reduce noise and air pollution near the airport, as well as reduce the inefficient resource consumption of aircraft engines and provide significant savings in aviation fuel. UAS is also used when the aircraft loses the ability to move and is located on or near the working area of the airfield, which creates a serious problem leading to the closure of the airport for flights, while airlines incur significant losses.

Purpose of research. Improving the efficiency of the towing airfield system through the development of an information system. Objectives. Development of the structure of a robotic towing airfield system, drawing up a structural diagram of the ACS layout of the towing platform, design of block diagrams of the logical controller of the ACS platform.

Methods. The level of horizontal deviation of the platform from the contrast line was chosen as the setting influence determining the position of the platform in space, which is measured by analyzing images coming from the technical vision system installed on the tow truck. Results. In the course of the study, the structure of a robotic towing airfield system was developed. Based on this structure, a block diagram of the ACS layout of the towing platform was designed and a block diagram of the logical controller of the ACS platform was developed.

Conclusions. 1. The structure of a robotic towing airfield system has been developed, including a mobile tow truck, a coupling device, an aircraft, and an on-board control system. 2. An algorithm for controlling the positioning of a robotic towing airfield system based on the logical processing of signals of an optocoupler matrix has been developed. 3. Algorithms have been developed for controlling the movement of the RBAS along a given contrast line under the action of external disturbing influences of a deterministic and random type, allowing for high-precision movement of the RMB.

1. Kazantseva P. I., Shevtsova N. V. Sovremennye problemy grazhdanskoi aviatsii Rossii. [Modern problems of civil aviation in Russia]. Aktual'nye problemy aviatsii i kosmonavtiki = Actual Problems of Aviation and Cosmonautics, 2017, vol. 3, no. 13, pp. 458-459.

2. Maulana R. R., Wibowo S. S. Design and Manufacture of Remote Control Towing Tug for Cessna 172 Aircraft: Structural Analysis. 2021, pp. 525-532.

3. Baaren E., Roling P. C. Design of a zero emission aircraft towing system, AIAA Aviation, 2019. Forum, 2019, 2932 p.

4. Velikanov A.V., Dyakov D. E., Velikanova L. A., Dyakova N. A. Robotizirovannaya sistema dlya nazemnogo transportirovaniya vozdushnykh sudov [Robotic system for ground transportation of aircraft. Nauchnyi vestnik GosNII GA = Scientific Bulletin of GosNII GA, 2021, no.37, pp. 42-52.

5. Afonin D. V., Pechurin A. S., Yatsun, S. F. Development of a Control System for a Robotic Towing Platform for Aircraft]. Frontiers in Robotics and Electromechanics, 2023, Springer, pp. 327-339.

6. Yatsun S. F., Bartenev V. V., Politov E. N., Afonin D. V. Modelirovanie dvizheniya robota-tyagacha dlya transportirovki samoletov po aerodromu [Simulation of the movement of a tractor robot for transporting aircraft at the airfield]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta = Proceedings of the Southwest State University, 2018, vol. 22, no.2(77), pp. 34-43.

7. Binh N. T., Tung N. A., Nam D. P., Quang N. H. An adaptive backstepping trajectory tracking control of a tractor trailer wheeled mobile robot. International Journal of Control, Automation and Systems, 2019, vol. 17, pp. 465-473.

8. Sirigu G., Cassaro M., Battipede M., Gili P. A route selection problem applied to auto-piloted aircraft tugs. WSEAS Transactions on Electronics, 2017, 8, pp. 27-40.

9. Politov E., Afonin D., Bartenev V. Mathematical Modeling of Motion of a TwoSection Wheeled Robot. Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings” ER (ZR) 2019, 2020, Kursk, Russia, 2019, pp. 397- 409. Springer Singapore. https://doi.org/10.1007/978-981-13-9267-2_32

10. Simon J. Autonomous wheeled mobile robot control. Interdisciplinary Description of Complex Systems: INDECS, 2017, no.15(3), pp.222-227.

11. Jardine P. T., Kogan M., Givigi S. N., Yousefi S. Adaptive predictive control of a differential drive robot tuned with reinforcement learning. International Journal of Adaptive Control and Signal Processing, 2019, no.33(2), p.410-423.

12. Shih C. L., Lin L. C. Trajectory planning and tracking control of a differential-drive mobile robot in a picture drawing application. Robotics, 2017, no.6(3), 17 p.

13. Afonin V. D., Pechurin S. A., Yatsun F. S. Simulation of the Joint Movement of a Robotic-Towing Vehicle and an Aircraft Using Signals from an Optocoupler Matrix. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta = Proceedings of the Southwest State University. 2022; 26(3): 63-80 (In Russ.). https://doi.org/ 10.21869/2223-1560-2022-26-3- 63-80.

14. Rafi R. H. et al. Design & implementation of a line following robot for irrigation based application // 19th International Conference on Computer and Information Technology (ICCIT), IEEE, 2016, pp. 480-483.

15. Wang H. et al. Smooth point-to-point trajectory planning for industrial robots with kinematical constraints based on high-order polynomial curve. Mechanism and Machine Theory, 2019, vol. 139, pp. 284-293.

16. Iwendi C. et al. Robust navigational control of a two-wheeled self-balancing robot in a sensed environment. IEEE Access, 2019, vol. 7, pp. 82337-82348.

17. Saenz A. et al. Velocity control of an omnidirectional wheeled mobile robot using computed voltage control with visual feedback: Experimental results. International Journal of Control, Automation and Systems, 2021, vol. 19, no. 2, pp. 1089-1102.

18. Efremov K.S., Shestakov V.A. Issledovanie bazovykh manevrov dvizheniya mnogozvennykh kolesnykh robotov [Investigation of basic maneuvers of movement of multi-link wheeled robots]. Vystavka innovatsii-2020 (vesennyaya sessiya) [Innovation Exhibition2020 (spring session)]. 2020, 69 p.

19. Afonin D.V., Pechurin A.S., Yatsun S.F. Modelirovanie avtonomnogo krivolineinogo dvizheniya robotizirovannoi buksirovochnoi sistemy vozdushnykh sudov [Modeling of autonomous curvilinear motion of a robotic towing system of aircraft]. Problemy mashinostroeniya i nadezhnosti mashin = Problems of Mechanical Engineering and Machine Reliability, 2022, no. 2, pp. 173-183.