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Equivalent Linear Model Identification and Periodic Control of a Mono-Wing Aerial Vehicle

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Abstract

This research is dedicated to investigating the dynamics identification and periodic control of a mono-wing aerial vehicle. The study employs well-established system identification strategies in both time and frequency domains to extract equivalent linear models. By exciting the system dynamics with a frequency sweep signal, non-parametric and parametric models are derived for each control channel, namely the flap and thrust. Furthermore, a comprehensive nonlinear simulation model is developed to facilitate trade study and design optimization. The identified models undergo careful validation using a two-square wave input signal, demonstrating their accuracy through a comparison with flight test data. Moreover, in terms of the control design, a noteworthy achievement is made by proposing a novel approach. The study showcases the effectiveness of a unique combination of multi-loop PID controllers specifically adapted to the time-periodic nature of the system. Remarkably, this approach enables satisfactory control behavior in a 3D environment utilizing only the flap input in the control loop while keeping the motor speed constant. Such a breakthrough holds great significance as it allows for the reliable application of a complex time-periodic aerial vehicle in demanding maneuvers, relying on just a single effective actuator.

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Code or data availability

The datasets generated during the current study are available from the corresponding author upon reasonable request.

References

  1. Rosen, A., Seter, D.: Vertical autorotation of a single-winged samara. J. appl. mech. 58(4), 1064–1071 (1991)

    Article  MATH  Google Scholar 

  2. Seter, D., Rosen, A.: Stability of the vertical autorotation of a single-winged samara. J. appl. mech. 59(4), 1000–1008 (1992)

    Article  MATH  Google Scholar 

  3. Arranz, G. Gonzalo, A. Uhlmann M, Flores O, García-Villalba M. A numerical study of the flow around a model winged seed in auto-rotation. Flow,Turbulence and Combustion. 101(2), 477–497 (2018)

  4. Kellas, A.: The guided samara: design and development of a controllable single-bladed autorotating vehicle [Master thesis]. Massachusetts Institute of Technology (2007)

  5. Houghton, J., Hoburg, W.: Fly-by-wire Control of a Monocopter. Massachusetts Institute of Technology, Project Report (2008)

    Google Scholar 

  6. Ulrich, E., Grauer, J., Pines, D., Hubbard, J., Humbert, S.: Identification of a Robotic Samara Aerodynamic/Multi-Body Dynamic Model. In: AIAA Atmospheric Flight Mechanics Conference 8233, (2010)

  7. Ezabadi, M.: Dynamic analysis of a single-blade aerial vehicle and model predictive control at hovering and forward flight [Master thesis]. Sharif University of Technology, Department of Aerospace Engineering (2018)

    Google Scholar 

  8. Matič, G., Topič, M., Jankovec, M.: Mathematical model of a monocopter based on unsteady blade-element momentum theory. J. Aircraft. 52(6), 1905–1913 (2015)

    Article  Google Scholar 

  9. Ulrich, E.R., Pines, D.J.: Effects of planform geometry on mechanical samara autorotation efficiency and rotational dynamics. J. Am. Helicopter. Soc. 57(1), 1–10 (2012)

    Article  Google Scholar 

  10. Low, JE., Pheh, YH., Foong, S.: Analysis of wing twist effects on hover flight dynamics of a single rotor aerial craft. In: 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). IEEE. 323–328 (2016)

  11. Win, SKH., Tan, CH., bin Shaiful, DS., Low, JE., Soh, GS., Foong, S.: The effects of chordwise wing optimization of single-winged samara in autorotation. In: 2017 IEEE International Conference on Advanced Intelligent echatronics (AIM).IEEE. 815–820 (2017)

  12. Bhat, S.S., Zhao, J., Sheridan, J., Hourigan, K., Thompson, M.C.: Evolutionary shape optimisation enhances the lift coefficient of rotating wing geometries. J. Fluid. Mech. 868, 369–384 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  13. Hassanalian, M., Throneberry, G., Abdelkefi, A.: Wing shape and dynamic twist design of bio-inspired nano air vehicles for forward flight purposes. Aerosp. Sci. Technol. 68, 518–529 (2017)

    Article  Google Scholar 

  14. Hassanalian, M., Abdelkefi, A.: Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Sciences. 91, 99–131 (2017)

    Article  Google Scholar 

  15. Dormiyani, ME., Banazadeh, A., Saghafi, F.: Multibody modeling and simulation of monocopter micro air vehicle. In: Applied Mechanics and Materials. Trans Tech Publ. 772, 401–409 (2015)

  16. Ulrich, ER., Pines, DJ., Park, J., Gerardi, S.: Controllable miniature mono-wing aircraft, U.S. Patent 20110062278A1 (2013)

  17. Ulrich, E.R., Faruque, I., Grauer, J., Pines, D.J., Humbert, J.S., Hubbard, J.E., Jr.: Control model for robotic samara: Dynamics about a coordinated helical turn. J. guid. control. dyn. 33(6), 1921–1927 (2010)

    Article  Google Scholar 

  18. Srigrarom, S., Lee, KY., Chng, S., Bin Abdul Malik, MN.: Development of UGS Monocopter: Platform Design and Trajectory Tracking. In: 33rd AIAA Applied Aerodynamics Conference. 2881, (2015)

  19. Fregene, K., Bolden, CL.: Dynamics and control of a biomimetic single-wing nano air vehicle. In: Proceedings of the 2010 American Control Conference.IEEE. 51–56 (2010)

  20. Sabeti, M.H.: Theoretical and experimental analysis of dynamic model of a single blade aerial vehicle based on frequency domain identification [Master thesis]. Sharif University of Technology, Department of Aerospace Engineering (2018)

    Google Scholar 

  21. Das, MK., Kumar, PM., Anitha, A.: ORBOT-An efficient & intelligent mono copter. In: 2017 IEEE International Conference on Circuits and Systems (ICCS). IEEE. 168–171 (2017)

  22. Low, JE., Sufiyan, D., Win, LST., Soh, GS., Foong, S.: Design of a Hybrid Aerial Robot with Multi-Mode Structural Efficiency and Optimized Mid-Air Transition. Unmanned Systems. 7(04), 195–213 (2019)

  23. Low, JE., Win, LTS., Shaiful, DSB., Tan, CH., Soh, GS., Foong, S.: Design and dynamic analysis of a transformable hovering rotorcraft (thor). In: 2017 IEEE International Conference on Robotics and Automation (ICRA). 6389–6396 (2017)

  24. Kang, S., Wang, J., Shan, J.: Stability analysis of a visibility-reduced monocopter. Proceedings of the Institution of Mechanical Engineers, Part G: J. Aerosp. Engr. 230(4),653–667 (2016)

  25. Win, SKH.,Win, LST., Soh, GS., Foong ,S.: Design, modelling and control of collaborative samara autorotating wings (SAW). International Journal of Intelligent Robotics and Applications. 3(2), 144–157 (2019)

  26. Jategaonkar, RV.: Flight vehicle system identification: A time-domain methodology. American Institute of Aeronautics and Astronautics, Inc (2015)

  27. Billings, SA.: Nonlinear system identification: NARMAX methods in the time, frequency, and spatio-temporal domains. John Wiley & Sons (2013)

  28. Lembono, TS., Low, JE., Win, LST., Foong, S., Tan, UX.: Orientation filter and angular rates estimation in monocopter using accelerometers and magnetometer with the Extended Kalman Filter. In: 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE. 4537–4543 (2017)

  29. Matǐ, G., Jankovec, M., Jurman, D., Topič, M.: Feasibility study of attitude determination for all-rotating unmanned aerial vehicles in steady flight. Journal of Intelligent & Robotic Systems. 80(2), 341–360 (2015)

    Article  Google Scholar 

  30. Cheng, RP., Tischler, MB., Celi, R.: A High-Order, Time Invariant, Linearized Model for Application to HHCI/FCS Interaction Studies. In: 59th Annual AHS Forum. (2003)

  31. Saetti, U., Horn, J.F., Berger, T., Lopez, M.J., Tischler, M.B.: Identification of Linear Time-Periodic Systems from Rotorcraft Flight-Test Data. J. Guid. Control. Dyn. 42(10), 2288–2296 (2019)

  32. Ulrich, E.R., Humbert, J.S., Pines, D.J.: Pitch and heave control of robotic samara micro air vehicles. J. Aircraft. 47(4), 1290–1299 (2010)

    Article  Google Scholar 

  33. Ezabadi, M., Sabeti, M., Banazadeh, A.: Dynamics identification of a monocopter using neural networks. International Journal of Modeling and Optimization. 7(3), 179 (2017)

    Article  Google Scholar 

  34. Zipfel, PH.: Modeling and simulation of aerospace vehicle dynamics. American Institute of Aeronautics and Astronautics. (2007)

  35. Suhadi, BL., Win, SKH., Win, LST., Foong, S.: Design and performance analysis of a Biplane-Inspired Monocopter (BIM) produced via FDM additive manufacturing process. In: Materials Today: Proceedings. Elsevier. 108 155–161 (2021)

  36. Emami, S.A., Banazadeh, A.: Online Identification of Aircraft Dynamics in the Presence of Actuator Faults. Journal of Intelligent and Robotic Systems. 96(3–4), 155–161 (2019). https://doi.org/10.1007/s10846-019-00998-z

    Article  Google Scholar 

  37. Emami, S.A., Roudbari, A.: Multimodel ELM-Based Identification of an Aircraft Dynamics in the Entire Flight Envelope. IEEE Transactions on Aerospace and Electronic Systems. 55(5), 2181–2194 (2019). https://doi.org/10.1109/TAES2018.2883848

  38. Emami, SA., Banazadeh, A.: Control oriented modeling and identification of nonlinear systems. Applied Mechanics and Materials. 841 330–337 (2016). https://doi.org/10.4028/www.scientific.net/AMM.841.330

  39. Pintelon, R., Guillaume, P., Rolain, Y., Schoukens, J., Van Hamme, H.: Parametric identification of transfer functions in the frequency domain-a survey. IEEE transactions on automatic control. 39(11), 2245–2260 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  40. Farvardin Ahranjani, F., Banazadeh, A.: Applied flight dynamics modeling and stability analysis of a nonlinear time-periodic mono-wing aerial vehicle. Aerospace Science and Technology. 108(3), 106381 (2022). https://doi.org/10.1016/j.ast.2020.106381

  41. Bhardwaj, H., Win, SKH., Win, LST., Sufiyan, D., Shaohui, F. P.I.D.: Based Sliding Mode Control of Asynchronous Multi-actuator Monocopter. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 12–16 (2021)

  42. Emami, SA., Castaldi, P., Banazadeh, A.: Neural network-based flight control systems. Present and future In Annual Reviews in Control. 97–137 (2022). https://doi.org/10.1016/j.arcontrol.2022.04.006

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Funding

This work was supported by Iran National Science Foundation (INSF) and Iran’s National Elites Foundation (INEF) grant 98027065.

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Contributions

All authors contributed to the study conception, design, and development of the vehicle. Flight tests, initial analysis, development of equations of motion, and simulation program were performed by M. H. Sabeti, M. Ezabadi, A. Banazadeh, and F. Saghafi. The initial draft of the manuscript was written by M. H. Sabeti and M. Ezabadi and completed by S. A. Emami. A. Banazadeh and F. Saghafi reviewed and revised the first version of the paper. The controller design process was fulfilled by S. A. Emami. All authors provided comments on previous versions of the manuscript and approved the final manuscript. This work was supported by Iran National Science Foundation (INSF) and Iran’s National Elites Foundation (INEF) grant 98027065.

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Correspondence to Afshin Banazadeh.

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Sabeti, M.H., Ezabadi, M., Banazadeh, A. et al. Equivalent Linear Model Identification and Periodic Control of a Mono-Wing Aerial Vehicle. J Intell Robot Syst 108, 74 (2023). https://doi.org/10.1007/s10846-023-01924-0

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