Abstract
The base attitude of a free-floating space robot is disturbed during capturing targets. Based on the variable stiffness technology, this paper presents a compliance control strategy for minimizing the base attitude disturbance. Firstly, the dynamic model of space manipulator system is established by using the Lagrange equation. Secondly, the differential evolution algorithm is utilized to design the control strategy of variable stiffness joint space manipulator. The simulation results reflect that the influence introduced by impact is obviously reduced, which verify the effectiveness of the control strategy.
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References
Flores-Abad, A., Ma, O., Pham, K., et al.: A review of space robotics technologies for on-orbit servicing. Prog. Aerosp. Sci. 68(8), 1–26 (2014)
Wu, J.W., Shi, S.C., Liu, H., Cai, H.G.: Spacecraft attitude disturbance optimization of space robot in target capturing process. Robot 33, 16–22 (2011). China
Yoshida, K., Sashida, N., Kurazume, R., et al.: Modeling of collision dynamics for space free-floating links with extended generalized inertia tensor. In: Proceedings of the 1992 IEEE International Conference on Robotics and Automations, pp. 899–904, France (1992)
Yoshida, K., Sashida, N.: Modeling of impact dynamics and impulse minimization for space robots. In: Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems 1993, IROS 1993. pp. 2064–2069. Yokohama, Japan (1993)
Nenchev, D.N., Yoshida, K.: Impact analysis and post-impact motion control issues of a free-floating space robot subject to a force impulse. IEEE Trans. Robot. Automat. 15(3), 548–557 (1999)
Nenchev, D.N., Yoshida, K.: Utilization of the bias momentum approach for capturing a tumbling satellite. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3333–3338. IEEE (2004)
Dimitrov, D.N., Yoshida, K.: Momentum distribution in a space manipulator for facilitating the post-impact control. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 4, pp. 3345–3350. IEEE (2004)
Shui, H.T., Li, X., Peng, S.J., et al.: Zero disturbance planning for space robots during target capture. In: Proceedings of IEEE International Conference on Control and Automation, Xiamen, China, pp. 471–475 (2010)
Zhang, L., Jia, Q.X., Chen, G.: Pre-impact trajectory planning for minimizing base attitude disturbance in space manipulator systems for a capture task. Chin. J. Aeronaut. 28(4), 1199–1208 (2015)
Dong, Q.H., Chen, L.: Neural network stabilization control of space mainipulator capturing operation. Huangzhong Univ. Sci. Tech. 43(3), 22–27 (2015). China
Tsagarakis, N.G., Sardellitti, I., Caldwell, D.G.: A new variable stiffness actuator (CompAct-VSA): Design and modelling. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 378–383. IEEE (2011)
Dorronsoro, B., Bouvry, P.: Cellular genetic algorithms without additional parameters. J. Supercomput. 63(3), 156–162 (2013)
Qin, A.K., Huang, V.L., Suganthan, P.N.: Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans. Evol. Comput. 13(2), 656–665 (2009)
Acknowledgment
This work was supported in part by Scientific and Technological Innovation Projects of General Armament Department under grant No. ZYX12010001 and National Key Basic Research Program of China under grant No. 2013CB733000.
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Wu, X., Chu, M., Dong, Z. (2017). A Compliance Control Strategy for Minimizing Base Attitude Disturbance Using Variable Stiffness Joint Space Manipulator. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_20
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DOI: https://doi.org/10.1007/978-3-319-70136-3_20
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