Taking into account a location of aircraft’s center of mass during motion cuing

Authors

DOI:

https://doi.org/10.20535/2521-1943.2023.7.1.273332

Keywords:

flight simulator, six-degrees of freedom synergistic motion system, motion cueing, cubic spline function, constructive resource, aircraft center of mass

Abstract

Compared to other information sources, motion cues provide a pilot with anticipatory information about spatial position and movement of aircraft. For motion cueing a flight simulator cockpit is installed on a motion system, movement of which motion cueing. Therefore, motion system is one of the most important components of full flight simulators. The problem of effective use of constructive resources of six-degrees of freedom synergistic motion system has been solved. But the problem of improving the motion cueing remained unsolved, due to the fact that location of motion system center of rotation is significantly different from location of aircraf’s center of gravity, and motion cues differ from real, flight one. The study subject is motion cueing on flight simulators. The problem was solved on the basis of simplified operator for transformation of motion system movements along individual degrees of freedom into jack movements, cubic spline functions to describe the dependence of the centers of rotation along pitch and yaw, and optimization theory using the deformable polyhedron method. The formulated and solved problem of taking into account of location of aircraft’s center of gravity during motion cueing along pitch and yaw increases an efficiency of using of constructive resource of a six-degrees of freedom synergistic motion system, a motion cueing fidelity and training realism on flight simulator.

References

  1. D. A. Stewart “Platform with Six Degrees of Freedom”, in Proc. of the Institution of mechanical engineers, Part–I, Vol. 180, No. 15, pp. 371–386, 1965. doi: http://dx.doi.org/10.1243/PIME_PROC_1965_180_029_02
  2. V.E. Gough “Contribution to discussion of papers on research in automobile stability”, Control and tyre performance, Vol. 171, pp. 392–395, 1956.
  3. V.V. Kabanaychyi, “Permissible and optimal working ranges of displaced of six-degrees-of-freedom motion system”, Cybernet-ics and computer technology, Issue 136, p. 61–68, 2002.
  4. S.S. Ahmadi and A. Rahmanii, “Nonlinear model predictive control of a Stewart platform based on improved dynamic model”, Int. J. Theor. Appl. Mech, No. 5, pp. 18–26, 2020.
  5. Diego Silva, Julio Garrido and Enrique Riveiro, “Stewart Platform Motion Control Automation with Industrial Resources to Perform Cycloidal and Oceanic Wave Trajectories”, Machines, No. 10, pp. 1–28, 2022, doi: https://doi.org/10.3390/machines10080711
  6. Fengchao Liang, Shuang Tan, Xiaolin Zhao, Jiankai Fan, Zhe Lin, Zhicheng Shi and Xiaojun Kang, “Kinematics and Dynamics Simulation of a Stewart Platform”, Journal of Physics, pp. 012–026, 2022. doi: https://doi.org/10.1088/1742-6596/2333/1/012026
  7. D.E. Galván-Pozos, F.J. Ocampo-Torres, “Dynamic Analysis of a Six-Degree of Freedom Wave Energy Converter Based on the Concept of the Stewart-Gough Platform”, Renew. Energy, No. 146, pp. 1051–1061, 2020. doi: https://doi.org/10.1016/j.renene.2019.06.177
  8. C. Gosselin, J-P. Merlet, “Parallel robots: Architecture, modeling, and design”, Encyclopedia of robotics, Berlin, Heidelberg: Springer Berlin Heidelberg, 2020, pp. 1–6. https://doi.org/10.1007/978-3-642-41610-1_158-1
  9. Javier Velasco, Isidro Calvo, Oscar Barambones, Pablo Venegas and Cristian Napole, “Experimental Validation of a Sliding Mode Control for a Stewart Platform Used in Aerospace Inspection”, Applications Mathematics, pp 1–15, 2020. doi: https://doi.org/10.3390/math8112051
  10. J. Jiao, Y. Wu, K. Yu, R. Zhao, “Dynamic modeling and experimental analyses of Stewart platform with flexible hinges”, J. Vib. Control, No. 25, pp. 151–171, 2019. DOI: https://doi.org/10.1177/1077546318772474
  11. Y.S. Kim, H. Shi, N. Dagalakis, J. Marvel, G. Cheok, “Design of a six–DOF motion tracking system based on a Stewart plat-form and ball–and–socket joints”, Mech. Mach. Theory, No. 133, pp. 84–94, 2019. DOI: https://doi.org/10.1016/j.mechmachtheory.2018.10.021
  12. S. Kizir, Z. Bingül, “Design and development of a Stewart platform assisted and navigated transsphenoidal surgery” Turk. J. Electr. Eng. Comput. Sci, No. 27, pp. 961–972, 2019. DOI: https://doi.org/10.3906/elk-1608-145
  13. Z.Q. Lu, D. Wu, H. Ding, L.Q. Chen, “Vibration isolation and energy harvesting integrated in a Stewart platform with high static and low dynamic stiffness”, Appl. Math. Model, No. 89, pp. 249–267, 2021. DOI: https://doi.org/10.1016/j.apm.2020.07.060
  14. S. Pedrammehr, S. Nahavandi, H. Abdi, “Closed–form dynamics of a hexarot parallel manipulator by means of the principle of virtual work”, Acta Mech. Sin, No. 34, pp. 883–895, 2018.
  15. S. Shastry, R. Avaneesh, K. Desai, S. Shah, “Optimal design of a Stewart–Gough platform for multidirectional 3-D printing”, Precision Product-Process Design and Optimization, Singapore: Springer Singapore; 2018, pp. 1–29, DOI: https://doi.org/10.1007/978-981-10-8767-7_1
  16. M. Shariatee and A. Akbarzadeh, “Optimum dynamic design of a Stewart platform with symmetric weight compensation sys-tem”, J. Intell. Robot. Syst., No. 103, pp. 55–66, 2021. DOI: https://doi.org/10.1007/s10846-021-01461-8
  17. T.S. Tamir et al., “Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform”, Int. J. Control Autom. Syst, No. 20, pp. 968–982, 2022. DOI: https://doi.org/10.1007/s12555-021-0058-4
  18. Trent Peterson, “Design and implementation of stewart platform robot for robotics course laboratory”, Ph.D. dissertation, San Luis Obispo. March 2020
  19. D. Xiaolin et al., “Modal space neural network compensation control for Gough-Stewart robot with uncertain load”, Neurocom-puting, No. 449, pp. 245–257, 2021. DOI: https://doi.org/10.1016/j.neucom.2021.03.119
  20. X. L. Yang et al., “Dynamic modeling and decoupled control of a flexible Stewart platform for vibration isolation”, J. Sound Vib, 439, pp. 398–412, 2019. DOI: 10.1016/j.jsv.2018.10.007
  21. R.V. Virgil Petrescu et al., “Inverse kinematics of a Stewart platform”, J. Mechatron. Robot, No. 2, pp. 45–59, 2018. DOI: https://doi.org/10.3844/jmrsp.2018.45.59
  22. Youjian Liang et al., “Kinematics of Stewart Platform Explains Three-Dimensional Movement of Honeybee’s Abdominal Struc-ture”, Journal of Insect Science, No. 4, pp. 1–6, 2019. DOI: https://doi.org/10.1093/jisesa/iez037
  23. H. Yun et al., “Development of an isotropic Stewart platform for telescope secondary mirror”, Mech. Syst. Signal Process, No. 127, pp. 328–344, 2019. DOI: https://doi.org/10.1016/j.ymssp.2019.03.001

Downloads

Published

2023-04-13

How to Cite

[1]
V. Kabanyachyi, S. Hrytsan, and S. Yankovskyi, “Taking into account a location of aircraft’s center of mass during motion cuing”, Mech. Adv. Technol., vol. 7, no. 1 (97), pp. 16–23, Apr. 2023.

Issue

Section

Aviation Systems and Technologies