System identification of wind effects on multirotor aircraft

Bristeau, P.J., Martin, P., Salaun, E., Petit, N.: The role of propeller aerodynamics in the model of a quadrotor UAV. In: 2009 European Control Conference (ECC), pp. 683–688. IEEE (2009)

Dahl, H., Faulkner, A.: Helicopter simulation in atmospheric turbulence. In: Proceedings of the 4th European Rotorcraft Forum, Stresa (1978)

Gong, A., Sanders, F.C., Hess, R.A., Tischler, M.B.: System identification and full flight-envelope model stitching of a package-delivery octocopter. In: AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics (2019)

Grauer, J., Morelli, E.: Method for real-time frequency response and uncertainty estimation. J. Guid. Control Dyn. 37(1), 336–344 (2014)

Hale, L.E., Patil, M., Roy, C.J.: Aerodynamic parameter identification and uncertainty quantification for small unmanned aircraft. J. Guid. Control Dyn. 40(3), 680–691 (2017)

Hoffmann, G.M., Huang, H., Waslander, S.L., Tomlin, C.J.: Quadrotor helicopter flight dynamics and control: theory and experiment. In: AIAA Guidance, Navigation and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics (2007)

Hoffmann, G.M., Huang, H., Waslander, S.L., Tomlin, C.J.: Precision flight control for a multi-vehicle quadrotor helicopter testbed. Control Eng. Pract. 19(9), 1023–1036 (2011)

Iost Filho, F.H., Heldens, W.B., Kong, Z., de Lange, E.S.: Drones: innovative technology for use in precision pest management. J. Econ. Entomol. 113(1), 1–25 (2020)

Jain, K.P., Fortmuller, T., Byun, J., Mäkiharju, S.A., Mueller, M.W.: Modeling of aerodynamic disturbances for proximity flight of multirotors. In: 2019 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1261–1269 (2019)

Johnson, W.: Rotorcraft Aeromechanics, vol. 36. Cambridge University Press, Cambridge (2013)

Juhasz, O., Lopez, M.J., Berrios, M.G., Berger, T., Tischler, M.B.: Turbulence modeling of a small quadrotor uas using system identification from flight data. In: 7th American Helicopter Society Technical Meeting on VTOL Unmanned Aircraft Systems. Paper sm$$_{-}$$uas$$_{-}$$2017$$_{-}$$017, Mesa (2017)

Lusardi, J.: Control equivalent turbulence input model for the uh-60 helicopter. Ph.D. thesis, Mechanical and Aeronautical Engineering Department, University of California, Davis, Davis (2004) (ProQuest Dissertations and Theses)

Lusardi, J.A., Tischler, M.B., Blanken, C.L., Labows, S.J.: Empirically derived helicopter response model and control system requirements for flight in turbulence. J. Am. Helicopter Soc. 49(3), 340–349 (2004)

Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20–32 (2012)

Martin, P., Salaun, E.: The true role of accelerometer feedback in quadrotor control. In: 2010 IEEE International Conference on Robotics and Automation, pp. 1623–1629. IEEE (2010)

McDaniel, G., Burrows, R.: A method of trajectory analysis with multi-mission capability and guidance application

Mettler, B., Tischler, M.B., Kanade, T.: System identification of small-size unmanned helicopter dynamics. In: American Helicopter Society 55th Annual Forum. Paper 55-00161, Montreal (1999)

Michel, N., Sinha, A.K., Kong, Z., Lin, X.: Multiphysical modeling of energy dynamics for multirotor unmanned aerial vehicles. In: 2019 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 738–747. IEEE (2019)

Morelli, E.A.: Real-time parameter estimation in the frequency domain. J. Guid. Control Dyn. 23(5), 812–818 (2000)

Morelli, E.A.: Flight test maneuvers for efficient aerodynamic modeling. J. Aircr. 49(6), 1857–1867 (2012)

Pounds, P., Mahony, R., Corke, P.: Modelling and control of a large quadrotor robot. Control Eng. Pract. 18(7), 691–699 (2010)

Powers, C., Mellinger, D., Kumar, V.: Quadrotor kinematics and dynamics. In: Handbook of Unmanned Aerial Vehicles, pp. 307–328 (2015)

Russell, C.R., Jung, J., Willink, G., Glasner, B.: Wind tunnel and hover performance test results for multicopter uas vehicles. In: American Helicopter Society 72nd Annual Forum. Paper 72-2016-374, West Palm Beach (2016)

Stull, R.B.: An Introduction to Boundary Layer Meteorology, vol. 13. Springer Science & Business Media (2012)

Tischler, M.B., Remple, R.K.: Aircraft and Rotorcraft System Identification, 2nd edn. AIAA Education Series, pp. 1–723 (2012)

Valasek, J., Chen, W.: Observer/Kalman filter identification for online system identification of aircraft. J. Guid. Control Dyn. 26(2), 347–353 (2003)

Valavanis, K.P., Vachtsevanos, G.J.: Handbook of Unmanned Aerial Vehicles, vol. 1. Springer, Berlin (2015)

Wei, W., Cohen, K., Tischler, M.B.: System identification and controller optimization of a quadrotor uav. In: American Helicopter Society 71st Annual Forum. Paper 71-2015-049, Virginia Beach (2015)

Wei, P., Chan, S.N., Lee, S., Kong, Z.: Mitigating ground effect on mini quadcopters with model reference adaptive control. Int. J. Intell. Robot. Appl. 3(3), 283–297 (2019)

Yeo, H., Romander, E.A.: Loads correlation of a full-scale uh-60a airloads rotor in a wind tunnel. J. Am. Helicopter Soc. 58(2), 1–18 (2013)

Yoon, S., Diaz, P.V., Boyd Jr, D.D., Chan, W.M., Theodore, C.R.: Computational aerodynamic modeling of small quadcopter vehicles. In: American Helicopter Society 73rd Annual Forum. Paper 73-2017-0015, Fort Worth (2017)