Improving the impact point accuracy of unpowered flight vehicles under uncertain wind conditions by using parameter-based adaptive control
DOI:
https://doi.org/10.54939/1859-1043.j.mst.107.2025.32-41Keywords:
Unpowered flight vehicles; Pre-programmed trajectory tracking; Wind models.Abstract
The paper focuses on the problem of pre-programmed trajectory tracking control under uncertain wind conditions for unpowered flight vehicles operating at transonic and subsonic speeds. In the vertical plane, the trajectory is assumed to be affected by the environment at low altitudes, where complex and unpredictable winds often occur, manifesting randomly as gusts, turbulence, or longitudinal winds. The influence of wind can cause significant deviations from the pre-programmed trajectory by hundreds of meters. To cope with these wind effects and improve the impact point deviation, an adaptive control combining Linear Quadratic Regulator (LQR) and Recursive Least Squares (RLS) based on model parameter estimation is implemented. Consequently, the adaptive LQR exhibits a flexible response and achieves high accuracy in tracking the pre-programmed trajectory. Compared with a non-adaptive one, adaptive LQR shortens the impact point deviation from tens of meters to meters.
References
[1]. Guo-Qiang H. et al., “Optimal release condition of no-power gliding bomb,” Flight Dynamics, vol. 27, no. 1, pp. 93–96, (2009).
[2]. Elandy I. H. et al., “Modeling and simulation of an aerial gliding body in free-fall,” International Journal of Engineering Research & Technology (IJERT), vol. 2018, pp. 135–142.
[3]. Elsherbiny A. M. et al., “Inverse simulation of symmetric flight of a guided gliding subsonic flying body,” AIAA Modeling and Simulation Technologies Conference, p. 0427, (2018).
[4]. Zhang D. C. et al., “An approximate optimal maximum range guidance scheme for subsonic unpowered gliding vehicles,” International Journal of Aerospace Engineering, vol. 2015, pp. 1–8.
[5]. Lim S. et al., “Guidance to control arrival angle and altitude for an unpowered aerial vehicle,” International Journal of Aeronautical and Space Sciences, vol. 2020, pp. 1–14.
[6]. Ahmad M. et al., “Trajectory optimization of a subsonic unpowered gliding vehicle using control vector parameterization,” Drones, vol. 6, no. 11, Article 360, (2022).
[7]. Mahmood A. et al., “Range guidance for subsonic unpowered gliding vehicle using integral action-based sliding mode control,” International Journal of Dynamics and Control, vol. 2023, pp. 1–11.
[8]. Hung P. T. et al., “Optimization of long-range trajectory for an unpowered flight vehicle,” Vietnam Journal of Science and Technology, vol. 57, no. 6A, pp. 43–50, (2019).
[9]. P. T. Hung, N. D. Cuong, N. D. Thanh, “Tối ưu hóa quỹ đạo tham chiếu tầm xa cho bom có điều khiển,” Journal of Military Science and Technology, No. 70, pp. 16–21, (2020). (in Vietnamese)
[10]. Hung P. T., Cuong N. D., “Optimization of variable-direction long-range trajectory for the unpowered flight vehicle,” Vietnam Journal of Science and Technology, vol. 63, no. 1, pp. 176–185, (2025).
[11]. Nguyen Duc Cuong, “Mô hình hóa và mô phỏng chuyển động của các khí cụ bay tự động,” People's Army Publishing House, (2002) (in Vietnamese).
[12]. Wu Z. et al., “Gust loads on aircraft,” The Aeronautical Journal, Vol. 123, No. 1266, pp. 1216–1274, (2019).
[13]. Wang B. H. et al., “An overview of various kinds of wind effects on unmanned aerial vehicle,” Measurement and Control, vol. 52, issue 7–8, pp. 731–739, (2019).
[14]. Abbott I. H., and Von Doenhoff A. E., “Theory of wing sections: Including a summary of airfoil data,” Dover Publications, New York, (1958).
[15]. Демидов В. С., “Расчёт аэродинамических характеристик летательных аппаратов,” Военно-воздушная инженерная академия им. Н.Е. Жуковского, Москва, (1971).
[16]. Nguyen Doan Phuoc, “Lý thuyết điều khiển nâng cao,” Science and Technology Publishing House, (2009) (in Vietnamese).
[17]. Nguyen Thi Phuong Ha, “Lý thuyết điều khiển hiện đại,” Ho Chi Minh City National University Publishing House, (2007), (in Vietnamese).
[18]. ICAO, “Manual of the ICAO Standard Atmosphere: Extended to 80 kilometres (262 500 feet),” Doc 7488-CD, Third Edition, Montreal, (1993).
[19]. Rowell, D., “Introduction to recursive-least-squares (RLS) adaptive filters,” in Signal Processing: Continuous and Discrete, (2008).
