Methodology of Development of an Adaptive Stabilization System for Equipment of Unmanned Vehicle

Authors

DOI:

https://doi.org/10.18372/1990-5548.89.21490

Keywords:

unmanned vehicle, stabilization system, controller, adaptive control, simulation

Abstract

The article is devoted to the development of an adaptive stabilization system for equipment installed on unmanned ground vehicles operated in extreme impassable or difficult-to-pass conditions, which determine the nature and specificity of the impact of disturbances on the installed equipment. The article considers a mini-class unmanned ground vehicles, and a four-wheeled platform is considered as a simplified model of such a vehicle. As extreme impassable or difficult-to-pass traffic conditions, terrain with a complex profile, additional impulse disturbances that simulate hills and pits, and the slope of the traffic surface are considered. A two-axis stabilization system with classic PI controllers in the stabilization channels relative to the transverse and longitudinal axes is used as the base. The modeling and analysis of the basic system showed that in the described conditions of the unmanned ground vehicles movement, the stabilization errors in both channels exceed the permissible values, and taking into account the nonlinearities and possible changes in inertial characteristics, such a system becomes inoperable. To develop the adaptive system, the method of Model Reference Adaptive Control with additional damping of parameters was used. Based on this method, an adaptive PI controller was developed for use in the channels of the stabilization system relative to the transverse and longitudinal axes. The adaptive system was simulated in extreme impassable or difficult-to-pass conditions of the unmanned ground vehicles movement, taking into account the influence of nonlinearities in the engine and gearbox, as well as taking into account the increase in the load on the gearbox shaft by 2 and 3 times compared to the adopted design value. It is shown that the stabilization errors of the adaptive system in both channels do not exceed the established permissible value, and the presence of nonlinear characteristics and a change in the load do not lead to a decrease in the accuracy of the adaptive stabilization system.

Author Biographies

Nadiia Bouraou , National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Doctor of Technical Sciences

Professor

Head of Department

Faculty of Robotics and Instrumentation Engineering

Andrii Osovtsev , National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”

Postgraduate Student

Faculty of Robotics and Instrumentation Engineering

Andrii Dovhopoliuk, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Postgraduate Student

Faculty of Robotics and Instrumentation Engineering

References

[1] F. Rubio, F. Valero and C. Liopis-Albert, “A review of mobile robots: Concepts, methods, theoretical framework, and applications,” International Journal of Advanced Robotic Systems, no. 2, pp. 1–22, 2019. https://doi.org/10.1177/1729881419839596

[2] C. Gruber and M. Hofbaur, “Remarks on the Classification of Wheeled Mobile Robots”, Mechanical Sciences, vol. 7(1), pp. 93–105, 2016. https://doi.org/10.5194/ms-7-93-2016

[3] A. Dobra, "General classification of robots. Size criteria," 2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD), Smolenice, Slovakia, 2014, pp. 1–6. https://doi.org/10.1109/RAAD.2014.7002249

[4] G. Antonelli, “Wheeled Mobile Robots”, Springer Handbook of Robotics, 2nd ed., B. Siciliano and O. Khatib, Eds., Springer, 2016, pp. 1235–1266.

[5] N. I. Bouraou and A. V. Osovtsev, “Modeling of the stabilization system of mobile robot equipment in the conditions of movement on terrain with slopes and unevenness”, Electronic Modeling, vol. 46, no. 3, pp. 114–125, 2024. [in Ukrainian]

https://doi.org/10.15407/emodel.46.03.114

[6] Z. Zhang, X. Hu, Y. Gao and X. Hou, “Robust and Adaptive Stabilization Controllers of State-Constrained Nonholonomic Chained Systems: A Discontinuous Approach,” Mathematics, no. 12(1), 59, 2024.

https://doi.org/10.3390/math12010059.

[7] O. A. Sushchenko and O. O. Salyk, “Synthesis of Robust System for Spatial Stabilization of Ground Vehicle Equipment,” Electronics and Control Systems, vol. 2, no. 80, pp. 50–57, 2024. https://doi.org/10.18372/1990-5548.80.18685

[8] D.-H. Lee, D.-Q. Tran, Y.-B. Kim and S. Chakir, “A Robust Double Active Control System Design for Disturbance Suppression of a Two-Axis Gimbal System,” Electronics, 2020, vol. 9(10), 1638 p. https://doi.org/10.3390/electronics9101638

[9] J. Kang and J. Park, “Stabilization of Camera Systems for Ground Surveillance Robots Using Hybrid Controllers”, Robotics and Autonomous Systems, vol. 122, pp. 103–115, 2019.

https://doi.org/10.1016/j.robot.2019.01.002

[10] M. Zhang, Y. Guan, Q. Li, Z. Sun and Z. Duan. “Adaptive nonlinear control for the stabilized platform with disturbance and input saturation,” IEEE Access, vol. 8, 2020, pp. 200774–200788.

https://doi.org/10.1109/ACCESS.2020.3035601

[11] A. Shekhar and A. Sharma, "Review of Model Reference Adaptive Control," 2018 International Conference on Information, Communication, Engineering and Technology (ICICET), Pune, India, 2018, pp. 1–5.

https://doi.org/10.1109/ICICET.2018.8533713.

[12] S. Chattopadhyay, S. Sucumar and V. Natarajan, “Model reference adaptive control for state and input constrained linear systems,” European Journal of Control, vol.82, pp. 101196, 2025.

https://doi.org/10.1016/j.ejcon.2025.101196

[13] N. I. Bouraou and A. V. Osovtsev, “Modeling of angular inclination dynamics of a mobile robot during motion on surfaces with complex profiles and irregular disturbances,” Scientific Notes of Taurida National V. I. Vernadsky University. Series: Technical Sciences, vol. 36 (75), no. 6, 2025, pp. 53 – 61. [in Ukrainian]

https://doi.org/10.32782/2663 5941/2025.6.2/09

[14] Munadi, M. A. Akbar, T. Naniwa and Y. Taniai, "Model Reference Adaptive Control for DC motor based on Simulink," 2016 6th International Annual Engineering Seminar (InAES), Yogyakarta, Indonesia, 2016, pp. 101–106.

https://doi.org/10.1109/INAES.2016.7821915.

Downloads

Published

2026-09-18

How to Cite

Bouraou , N., Osovtsev , A., & Dovhopoliuk, A. (2026). Methodology of Development of an Adaptive Stabilization System for Equipment of Unmanned Vehicle. Electronics and Control Systems, 3(89), 179–187. https://doi.org/10.18372/1990-5548.89.21490

Issue

Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES AND ROBOTICS