Development of a Stabilizing Adaptive Feedback Control System for Helicopter Gun Turrets

Authors

  • Mustafa Tolga Yavuz Istanbul Technical University, Faculty of Aeronautics & Astronautics, Department of Aeronautics Engineering https://orcid.org/0000-0001-7728-3713
  • Caglar Uyulan Izmir Katip Celebi University, Faculty of Engineering & Architecture, Department of Mechanical Engineering
  • Ibrahim Ozkol Istanbul Technical University, Faculty of Aeronautics & Astronautics, Department of Aeronautics Engineering

Keywords:

Adaptive Backstepping Control, Gun-Turret System, Robot Manipulator, State-Augmented Controller, Attack Helicopter

Abstract

This study introduces a stabilizing controller design for a helicopter gun turret system using an adaptive backstepping control approach. To model the gun turret system, a two-degree-of-freedom manipulator dynamics is employed, which enables precise control over the weapon pointing mechanism. The proposed controller design utilizes an adaptive backstepping control strategy to ensure system stability and robustness against disturbances such as firing and other operational conditions. Additionally, the design includes an advanced feedback mechanism that dynamically adjusts to changes in the helicopter's flight dynamics, further enhancing control accuracy. Simulation results show the efficacy of the controller, achieving stable and precise control of the gun turret system. The study offers a simplified model to enhance the performance of helicopter gun turret systems, with potential applications in military ground and naval vehicles. The proposed controller design is a promising solution to improve the precision and stability of the gun turret system, contributing to safer and more efficient defense systems.

Downloads

Download data is not yet available.

Author Biography

Mustafa Tolga Yavuz, Istanbul Technical University, Faculty of Aeronautics & Astronautics, Department of Aeronautics Engineering

Mustafa Tolga YAVUZ received his B.Sc. degree in Mathematical and  Mechanical Enginering, and Minor degree in Mechatronic Engineering from Istanbul Technical University in 2011. He received his M.Sc. degree in Mechatronics Engineering from Istanbul Technical University in 2014. Now, he continues his Ph.D. studies on Thermal Analysis of Aerospace Structures by Differential Quadrature Method in Aeronautical and Astronautics Engineering Faculty at Istanbul Technical University. He works over interdisciplinary problems related to missile and aerospace vehicle design. His research interests cover flight mechanics, nonlinear control techniques, numerical solution methods of PDE, multibody dynamics, robotic systems, aerodynamic heating, flow-induced vibration, composite structures, heat shields of aerospace vehicles, subproblemes of elasticity such as thermoelasticity, aeroservoelasticity.

References

Eagle Dynamics: Digital Combat Simulator. AH 64D M230 Chain Gun Showcase (Sep. 21, 2021). Accessed: Jan 11, 2023. [Online Video]. Available: https://www. youtube.com/watch?v=Z5gZa1DWwW4.

Y. -L. Gu, R. N. K. Loh, N. Coleman, and C. -F. Lin, "Control of Weapon Pointing Systems Based on Robotic Formulation," in American Control Conference, Chicago, IL, USA, 1992, pp. 413-419.

N. K. Loh and N. Coleman, "Microprocessor Controlled Optimal Helicopter Turret Control System," in American Control Conference, Arlington, VA, USA, 1982, pp. 1088-1094.

G. Kumar, P. Y. Tiwari, V. Marcopoli and M. V. Kothare, "A study of a gun-turret assembly in an armored tank using model predictive control," in American Control Conference, St. Louis, MO, USA, 2009, pp. 4848-4853.

M. K. Anwar, A. Risnumawan, A. Darmawan, M. N. Tamara and D. S. Purnomo, "Deep multilayer network for automatic targeting system of the gun turret," in International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Surabaya, Indonesia, 2017, pp. 134-139.

J. H. Tian, L. -F. Qian and X. -H. Yang, "Intelligent sliding mode control and application to weapon pointing systems," in International Conference on Computer, Mechatronics, Control and Electronic Engineering, Changchun, China, 2010, pp. 372-375.

C. F. Lin, J. Huang, N. Coleman, S. Banks, and M. Mattice, "Fuzzy Logic Enhanced Control of Nonlinear Flexible Pointing Systems," in The First IEEE Regional Conference on Aerospace Control Systems, Westlake Village, CA, USA, 1993, pp. 851-855.

A. M. Idris, K. Hudha, Z. A. Kadir and N. H. Amer, "Development of target tracking control of the gun-turret system," in 10th Asian Control Conference (ASCC), Kota Kinabalu, Malaysia, 2015, pp. 1-5.

J. Craig, Ping Hsu, and S. Sastry, “Adaptive control of mechanical manipulators,” in IEEE International Conference on Robotics and Automation, San Francisco, CA, USA, 1986, pp. 190-195.

J. J. Craig, P. Hsu, and S. S. Sastry, Adaptive Control of Mechanical Manipulators, International Journal of Robotics Research 6(2), 16-28 (1987).

J. J. E. Slotine and W. Li, On the Adaptive Control of Robot Manipulators, International Journal of Robotics Research 6(3), 49-59 (1987).

P. D. Nguyen, N. H. Nguyen, and H. T. Nguyen, Adaptive control for manipulators with model uncertainty and input disturbance, International Journal of Dynamics and Control 11, 2285-2294 (2023).

C. Uyulan, Design and Stability Analysis of a Robust-Adaptive Sliding Mode Control Applied on a Robot Arm with Flexible Links, Vibration 5(1), 1–19 (2021).

N. Nikdel, M. A. Badamchizadeh, V. Azimirad, and M. A. Nazari, Adaptive backstepping control for an N-degree of freedom robotic manipulator based on Combined State Augmentation, Robotics and Computer-Integrated Manufacturing 44, 129–143 (2017).

N. Nikdel and M. A. Badamchizadeh, Adaptive backstepping control for a 2-DOF robot manipulator: A state augmentation approach, International Journal of Materials, Mechanics, and Manufacturing 5(2), 113–118 (2017).

J. Zou and J. K. Schueller, Adaptive backstepping control for a parallel robot with uncertainties in dynamics and kinematics, Robotica 32(6), 1-24 (2014).

Q. Hu, L. Xu, and A. Zhang, Adaptive backstepping trajectory tracking control of robot manipulator, Journal of the Franklin Institute 349(3), 1087–1105 (2012).

Y. Zhang, C. Wen, and Y. C. Soh, Adaptive backstepping control design for systems with unknown high-frequency gain, IEEE Transactions on Automatic Control 45(12), 2350–2354 (2000).

N. Nikdel, M. Badamchizadeh, V. Azimirad, and M. A. Nazari, Fractional-order adaptive backstepping control of robotic manipulators in the presence of model uncertainties and external disturbances, IEEE Transactions on Industrial Electronics, 63(10), 6249–6256 (2016).

J. E. Slotine, and W. Li, Applied Nonlinear Control: An introduction. Englewood Cliffs, NJ: Prentice-Hall, 1991.

Å. K. Johan, and W. Björn, Adaptive Control. Dover Publications, 2008.

M. W. Spong, S. Hutchinson, and M. Vidyasagar, Robot Modeling and Control. Wiley Publications, 2020.

Downloads

Published

05-04-2024

How to Cite

[1]
M. T. Yavuz, C. Uyulan, and I. Ozkol, “Development of a Stabilizing Adaptive Feedback Control System for Helicopter Gun Turrets”, JAST, vol. 17, no. Special Issue, pp. 135–159, Apr. 2024.