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Attitude Control of Flapping-Wing Micro Air Vehicles Based on Hyperbolic Tangent Function Sliding Mode Control

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Intelligent Robotics and Applications (ICIRA 2023)

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Abstract

The flying animals in nature mainly include insects, birds, and bats, which have formed flexible flight wings and control systems through natural evolution. Compared with fixed wing and rotor wing vehicle, flapping wing micro air vehicle (FMAV) have higher maneuverability during flight, but the implementation of different motion attitudes requires effective control of flight attitudes.

FMAV is a typical non-constant aerodynamic system, and it is difficult to establish an accurate analytical or semi-analytical mechanical model, which poses certain technical challenges to the systematic design of control laws. Sliding mode control (SMC) is a typical and special nonlinear control, which has good control effect and robustness for uncertain nonlinear systems such as unmanned aerial vehicle (UAV), spacecraft, FMAV, etc. and can solve various disturbances and model uncertainty brought by external complex environment. However, the traditional Sliding mode control has the problem of chattering, so the hyperbolic tangent function is introduced to replace the discontinuous switching function, Then, an attitude control of FMAV based on hyperbolic tangent function Sliding mode control is established to complete the target attitude tracking control.

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References

  1. Song, F., Yan, Y., Sun, J.: Review of insect-inspired wing micro air vehicle. Arthropod Struct. Dev., 101225 (2022)

    Google Scholar 

  2. Ma, D., Jin, L., Fu, D., Xiao, X., Liu, M.: On position and attitude control of flapping wing micro-aerial vehicle. In: Han, M., Qin, S., Zhang, N. (eds.) ISNN 2020. LNCS, vol. 12557, pp. 207–216. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-64221-1_18

  3. Tong, S., Weiping, Z., Jiawang, M., Zihao, C.: Research progress on control of bioinspired flapping-wing micro air vehicles. In: 2019 IEEE International Conference on Unmanned Systems (ICUS), Beijing, China, pp. 842–847 (2019)

    Google Scholar 

  4. Steltz, E., Avadhanula, S., Fearing, R.S.: High lift force with 275 Hz wing beat in MFI. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE (2007)

    Google Scholar 

  5. Jones, K.D., et al.: Bio-inspired design of flapping-wing micro air vehicles. Aeronaut. J. 109(1098), 385–393 (2005)

    Article  Google Scholar 

  6. Kamel, M., Burri, M., Siegwart, R.: Linear vs nonlinear MPC for trajectory tracking applied to rotary wing micro aerial vehicles. IFAC-PapersOnLine 50(1), 3463–3469 (2017)

    Article  Google Scholar 

  7. Liu, L.-Y., Yuan, K.: Noncollocated passivity-based PD control of a single-link flexible manipulator. Robotica 21(2), 117–135 (2003)

    Article  Google Scholar 

  8. Percin, M., et al.: Force generation and wing deformation characteristics of a flapping wing micro air vehicle ‘DelFlv II’ in hovering flight. Bioinspir. Biomim. 11(3), 036014 (2016)

    Article  Google Scholar 

  9. Farrell Helbling, E., Wood, R.J.: A review of propulsion power and control architectures for insect-scale flapping-wing vehicles. Appl. Mech. Rev. 70(1), 010801 (2018)

    Google Scholar 

  10. Ma, K.Y., Chirarattananon, P., Wood, R.J.: Design and fabrication of an insect-scale flying robot for control autonomy. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2015)

    Google Scholar 

  11. Ahmed, B., Pota, H.R.: Dynamic compensation for control of a rotary wing UAV using positive position feedback. J. Intell. Rob. Syst. 61(1–4), 43–56 (2011)

    Article  Google Scholar 

  12. Shen, S., Michael, N., Kumar, V.: Autonomous multifloor indoor navigation with a computationally constrained MAV. In: 2011 IEEE International Conference on Robotics and Automation. IEEE (2011)

    Google Scholar 

  13. Bagley, R.L.: Applications of generalized derivatives to viscoelasticity. Air Force Materials Lab Wright-Patterson Afb Oh (1979)

    Google Scholar 

  14. James, E.C.: Lifting-line theory for an unsteady wing as a singular perturbation problem. J. Fluid Mech. 70(4), 753–771 (1975)

    Article  MATH  Google Scholar 

  15. Ming, P.U., et al.: Recursive terminal sliding mode control of higher-order nonlinear system with mismatched uncertainties. Acta Automatica Sinica 38(11), 1777–1793 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  16. Zhang, W., Liu, J., Hu, G.: Stability analysis of robust multiple model adaptive control systems. Acta Automatica Sinica 41(1), 113–121 (2015)

    Google Scholar 

  17. He, W., et al.: Adaptive neural network control of a flapping wing micro aerial vehicle with disturbance observer. IEEE Trans. Cybern. 47(10), 3452–3465 (2017)

    Article  Google Scholar 

  18. Ferdaus, Md.M., et al.: Development of c-means clustering based adaptive fuzzy controller for a flapping wing micro air vehicle. J. Artif. Intell. Soft Comput. Res. 9(2), 99–109 (2019)

    Google Scholar 

  19. Wang, T., Jin, S., Hou, Z.: Model free adaptive pitch control of a flapping wing micro aerial vehicle with input saturation. In: 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), Liuzhou, China, pp. 627–632 (2020)

    Google Scholar 

  20. Dejene, L.A.: Dynamic modelling and control of flapping wing micro air vehicle for flap-glide flight mode. Int. J. Eng. Manuf. 12(5), 22 (2022)

    Google Scholar 

  21. Liu, M., Ma, D., Li, S.: Neural dynamics for adaptive attitude tracking control of a flapping wing micro aerial vehicle. Neurocomputing 456, 364–372 (2021). Neural dynamics for adaptive attitude tracking control of a flapping wing micro aerial vehicle

    Google Scholar 

  22. Mou, J., Zhang, W., Wu, C., et al.: Adaptive control of flapping-wing micro aerial vehicle with coupled dynamics and unknown model parameters. Appl. Sci. 12(18), 9104 (2022)

    Article  Google Scholar 

  23. Xiong, J.J., Guo, N.H., Mao, J., et al.: Self-tuning sliding mode control for an uncertain coaxial octorotor UAV. IEEE Trans. Syst. Man Cybern. Syst. (2022)

    Google Scholar 

  24. Guo, L., Huangfu, Y., Ma, R.: A novel high-order sliding mode observer based on tanh-function for a fuel cell UAV power system with uncertain disturbance. In: 2019 IEEE Industry Applications Society Annual Meeting, pp. 1–7. IEEE (2019)

    Google Scholar 

  25. Siyu, H., Xugang, W., Yin, Z.: Sliding-mode control for a rolling-missile with input constraints. J. Syst. Eng. Electron. 31(5), 1041–1050 (2020)

    Google Scholar 

  26. . 4(22), 119–122 (2020)

    Google Scholar 

  27. Noordin, A., Mohd Basri, M.A., Mohamed, Z., Mat Lazim, I.: Position and attitude control of quadrotor mav using sliding mode control with tanh function. In: Khairuddin, I.M., et al. (eds.) Enabling Industry 4.0 through Advances in Mechatronics. LNEE, vol. 900 pp. 193–204. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-2095-0_18

  28. Noordin, A., Basri, M.A.M., Mohamed, Z.: Sliding mode control with tanh function for quadrotor UAV altitude and attitude stabilization. In: Bahari, M.S., Harun, A., Zainal Abidin, Z., Hamidon, R., Zakaria, S. (eds.) Intelligent Manufacturing and Mechatronics. LNME, pp. 471–491. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0866-7_41

  29. Wang, J., Zhu, H., Zhang, C., et al.: Adaptive hyperbolic tangent sliding-mode control for building structural vibration systems for uncertain earthquakes. IEEE Access 6, 74728–74736 (2018)

    Article  Google Scholar 

  30. Hu, Z., Hu, W., Wang, Z., et al.: Global sliding mode control based on a hyperbolic tangent function for matrix rectifier. J. Power Electron. 17(4), 991–1003 (2017)

    Google Scholar 

  31. Shi, Z., Deng, C., Zhang, S., et al.: Hyperbolic tangent function-based finite-time sliding mode control for spacecraft rendezvous maneuver without chattering. IEEE Access 8, 60838–60849 (2020)

    Article  Google Scholar 

  32. Leśniewski, P., Bartoszewicz, A.: Hyperbolic tangent based switching reaching law for discrete time sliding mode control of dynamical systems. In: 2015 International Workshop on Recent Advances in Sliding Modes (RASM), pp. 1–6. IEEE (2015)

    Google Scholar 

  33. Zhu, D., Zhang, W., Liu, C., et al.: Fractional-order hyperbolic tangent sliding mode control for chaotic oscillation in power system. Math. Probl. Eng., 1–10 (2021)

    Google Scholar 

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Acknowledgment

This work was supported in part by the Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction (2022KSYS013), in part by the CAS Science and Technology Service Network Plan (STS) - Dongguan Special Project (Grant No. 20211600200062), in part by the Science and Technology Cooperation Project of Chinese Academy of Sciences in Hubei Province Construction 2023.

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Correspondence to Wei Feng .

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Liu, X., Wang, W., Feng, W., Wang, S., Wang, X., Cheng, Y. (2023). Attitude Control of Flapping-Wing Micro Air Vehicles Based on Hyperbolic Tangent Function Sliding Mode Control. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14274. Springer, Singapore. https://doi.org/10.1007/978-981-99-6501-4_33

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  • DOI: https://doi.org/10.1007/978-981-99-6501-4_33

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  • Online ISBN: 978-981-99-6501-4

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