Abstract
Aerial manipulator poses a challenging trajectory planning problem because of the dynamical coupling between the quadrotor and the robotic arms. Aiming at the system trajectory planning problems of the center of mass(CoM) offset after the dynamic swing of manipulator, this paper proposes a trajectory planning method based on inertial decomposition. Meanwhile, in the proposed method, the dynamic constraints of the quadrotor are also taken into account to ensure the pitch angle and angular velocity of quadrotors are suitable and feasible. A geometry controller is used to ensure accurate tracking of the planned trajectory. Simulations are carried out to verify the proposed method.
This work was supported by National key research and development program (2022YFC3005104), National Natural Science Foundation of China (92248303), Shenyang Science and Technology Plan (21-108-9-18), Shenyang Science and Technology Bureau (RC210477), Youth Innovation Promotion Association of the Chinese Academy of Sciences (Y2022065).
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References
Ruggiero, F., Lippiello, V., Ollero, A.: Aerial manipulation: a literature review. IEEE Robot. Autom. Lett. 3(3), 1957–1964 (2018)
Kondak, K., et al.: Aerial manipulation robot composed of an autonomous helicopter and a 7 degrees of freedom industrial manipulator. In: 2014 IEEE international conference on robotics and automation (ICRA), pp. 2107–2112. IEEE, Hong Kong (2014)
Cataldi, E., et al.: Impedance control of an aerial-manipulator: preliminary results. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3848–3853. IEEE, Daejeon (2016)
Lee, H., Kim, H., Kim, H.J.: Path planning and control of multiple aerial manipulators for a cooperative transportation. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2386–2391. IEEE, Hamburg (2015)
Lindsey, Q., Mellinger, D., Kumar, V.: Construction of cubic structures with quadrotor teams. Proc. Robot. Sci. Syst. 7(7), 986–995 (2011)
Willmann, J., Augugliaro, F., Cadalbert, T., D’Andrea, R., Gramazio, F., Kohler, M.: Aerial robotic construction towards a new field of architectural research. Int. J. Archit. Comput. 10(3), 439–459 (2012)
Kim, S., Choi, S., Kim, H.J.: Aerial manipulation using a quadrotor with a two DOF robotic arm. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4990–4995. IEEE Robotics and Automation Society, Chicago (2013)
Yoshikawa, T., Zheng, X.Z.: Coordinated dynamic hybrid position/force control for multiple robot manipulators handling one constrained object. Int. J. Robot. Res. 12(3), 219–230 (1993)
Zhan, W., Chen, Y., Wang, Y., Chao, F., Shen, Q.: Robust control for autonomous surveillance with unmanned aerial manipulator. In: Jansen, T., Jensen, R., Parthaláin, N.M., Lin, C.-M. (eds.) UKCI 2021. AISC, vol. 1409, pp. 215–226. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-87094-2_19
Hwang, C.L., Yang, C.C., Hung, J.Y.: Path tracking of an autonomous ground vehicle with different payloads by hierarchical improved fuzzy dynamic sliding-mode control. IEEE Trans. Fuzzy Syst. 26(2), 899–914 (2017)
Yang, H., Wang, S., Zuo, Z.: Trajectory tracking for a wheeled mobile robot with an omnidirectional wheel on uneven ground. IET Control Theory Appl. 14(7), 921–929 (2020)
Huang, J., Ri, S., Fukuda, T., Wang, Y.: A disturbance observer based sliding mode control for a class of underactuated robotic system with mismatched uncertainties. IEEE Trans Autom. Control 64(6), 2480–2487 (2018)
Shahbazzadeh, M., Sadati, S.J., Minagar, S.: Trajectory tracking control for mobile robots considering position of mass center. Optimal Control Appl. Methods 42(6), 1542–1555 (2021). https://doi.org/10.1002/oca.2744
Fresk, E., Wuthier, D., Nikolakopoulos, G.: Generalized center of gravity compensation for multirotors with application to aerial manipulation. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4424–4429. IEEE, Vancouver (2017)
Zhang, J., Yang, L., Shen, G.: New hybrid adaptive control approach for aircraft with centre of gravity variation. IET Control Theory Appl. 6(14), 2179–2187 (2012)
Yang, S., He, B., Wang, Z., Xu, C., Gao, F.: Whole-body real-time motion planning for multicopters. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 9197–9203. IEEE, Xi’an (2021)
Zhang, X., et al.: Trajectory planning of quadrotors flight like binary star. In: 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 935–940. IEEE, Changbai Mountain (2022)
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Zhang, X., Yang, L., Zhang, G., Li, S., He, Y. (2023). Trajectory Planning of Aerial Manipulators Based on Inertial Decomposition. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14268. Springer, Singapore. https://doi.org/10.1007/978-981-99-6486-4_14
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DOI: https://doi.org/10.1007/978-981-99-6486-4_14
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