Abstract
In this chapter, the dynamics of the flying robot, represented by the System subblock, are modeled. The System consists of a rigid body, with the aerodynamics wrench \(\boldsymbol{\tau }_{\!d}\), interaction wrench \(\boldsymbol{\tau }_{\!i}\) and propulsion wrench \(\boldsymbol{\tau }\) acting on it through the external wrench \(\boldsymbol{\tau }_{\!e}\). Rigid body dynamics is presented in Sect. 2.1.1, while the propulsion wrench is described in Sect. 2.1.2, along with relevant propeller aerodynamics in Sect. 2.1.3. The propulsion wrench and motor dynamics, modeled in Sect. 2.1.5, are connected through the propeller speed \(\boldsymbol{\varpi }\). Lastly, the external wrench \(\boldsymbol{\tau }_{\!e}\) is estimated as discussed in Sect. 2.3.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Further experiments would be needed to correct for this. Unfortunately, this was not possible at the time of writing, as the author lost access to the system used in the experiments.
References
M. Bangura, H. Lim, H. J. Kim, R. Mahony, Aerodynamic power control for multirotor aerial vehicles, in ICRA 2014, Hong Kong, China (2014), pp. 529–536
R. Chartrand, W. Yin, Iteratively reweighted algorithms for compressive sensing in Acoustics, speech and signal processing, in IEEE International Conference on ICASSP 2008 (IEEE, 2008), pp. 3869–3872
A. De Luca, A. Albu-Schaffer, S. Haddadin, G. Hirzinger, Collision detection and safe reaction with the dlr-iii lightweight manipulator arm, in IROS 2006 (2006), pp. 1623–1630. https://doi.org/10.1109/IROS.2006.282053
S. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools (Springer Science & Business Media, Berlin, 2008)
D. Honegger, L. Meier, P. Tanskanen, M. Pollefeys, An open source and open hardware embedded metric optical flow cmos camera for indoor and outdoor applications, in ICRA 2013 (2013), pp. 1736–1741. https://doi.org/10.1109/ICRA.2013.6630805
J.G. Leishman, Principles of Helicopter Aerodynamics, 2nd edn. Cambridge Aerospace Series (Cambridge University Press, Cambridge, 2006)
J. Nikolic, J. Rehder, M. Burri, P. Gohl, S. Leutenegger, P.T. Furgale, R. Siegwart, A synchronized visual-inertial sensor system with fpga preprocessing for accurate real-time slam, in ICRA 2014, Hong Kong, China (2014), pp. 431–437
J. Nocedal, S.Wright, Numerical Optimization (Springer Science & Business Media, Berlin, 2006)
S. Omari, M.-D. Hua, G. Ducard, T. Hamel, Hardware and software architecture for nonlinear control of multirotor helicopters. IEEE/ASME Trans. Mechatr. 18(6), 1724–1736 (2013). ISSN: 1083-4435. https://doi.org/10.1109/TMECH.2013.2274558
S. Omari, M.-D. Hua, G. Ducard, T. Hamel, Nonlinear control of VTOL UAVs incorporating flapping dynamics, in IROS 2013, Tokyo, Japan (2013), pp. 2419–2425
K. Schmid, P. Lutz, T. Tomić, E. Mair, H. Hirschmüller, Autonomous vision-based micro air vehicle for indoor and outdoor navigation. J. Field Robot. 31(4), 537–570 (2014). ISSN: 1556-4967. https://doi.org/10.1002/rob.21506. http://dx.doi.org/10.1002/rob.21506
K. Schmid, T. Tomić, F. Ruess, H. Hirschmüller, M. Suppa, Stereo vision based indoor/outdoor navigation for flying robots, in IROS 2013 (2013), pp. 3955–3962. https://doi.org/10.1109/IROS.2013.6696922
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tomić, T. (2023). Modeling. In: Model-Based Control of Flying Robots for Robust Interaction Under Wind Influence. Springer Tracts in Advanced Robotics, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-031-15393-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-15393-8_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-15392-1
Online ISBN: 978-3-031-15393-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)