Abstract
Because of the movement of space manipulator is in accordance with the law of conservation of momentum. All the motions will pose interference on the position and posture of the base. So the interference on the base generated by the motions of manipulator must be reduced. In this paper, the nonholonomic redundancy features of the free-floating space manipulator system are used. The position and posture of 7-DOF space manipulator are planned at the same time. Firstly, the kinematics equations of manipulator are established. Secondly, the angles of joints are parameterized by the sine polynomial function, and then objective function is designed according to the precision index of the position and posture. Finally, quantum-behaved particle swarm optimization (QPSO) is applied to optimize the base disturbance. The model of space manipulator system is set up, which is composed of a free- floating base and a 7-DOF manipulator. It can be seen from the experimental results, the proposed method could find the global optimal value quickly. Moreover, this method has less correlation parameters. And the planned joint path is smooth and it meets the ranges of angle of joints, angular velocity and angular acceleration. The theoretical analysis and simulation results show that the proposed method is feasible and suitable to optimize the base disturbance.
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References
Li, Y., Dang, C.P.: The development of orbital servicing technology in space. Ordnance Ind. Autom. 31(5), 79–82 (2012)
Zhu, J.J., Huang, P.F., Liu, Z.X., Zhang, B.: Attitude stabilization method of space robot. Comput. Simul. 28(7), 177–179 (2011)
Li, S.R., Ma, H.C., Jiao, D.Y.: Robust tracking control for mobile robots using backing stepping. Comput. Eng. Appl. 49(8), 266–270 (2013)
Steven, D., Miguel, A.T.: Path planning for space manipulators to minimize spacecraft attitude disturbances. In: Proceeding of IEEE International Conference on Robotics and Automation, pp. 2522–2528 (1991)
Vafa, Z., Dubowsky, S.: On the dynamics of space manipulator using the virtual manipulator with application to path planning. J. Astronaut. Sci. 188, 45–76 (1993)
Huang, P.F., Chen, K., Xu, Y.S.: Optimal path planning for minimizing disturbance of space robot. In: Proceeding of IEEE Ninth International Conference, pp. 139–144 (2006)
Ge, X.S., Chen, L.Q., Lv, J.: Nonholonomic motion planning of a space manipulator system using genetic algorithm. J. Astronaut. 26(3), 262–267 (2005)
Wang, K., Zhang, H., Yang, L., Liu, Z.L.: Path planning for robots based on quantum-behaved particle swarm optimization. Microcomput. Inf. 26(4), 156–165 (2010)
Chou, J.C.K.: Quaternion kinematic and dynamic differential equations. IEEE Trans. Robot. Autom. 8(1), 53–64 (1992)
Xu, W.F., Liu, Y., Liang, B., Yang, Y.S., Qiang, W.Y.: Autonomous path planning and experiment study of free-floating space robot for target capturing. J. Intell. Rob. Syst. 51, 303–331 (2008)
Xu, W.F., Liang, B., Li, C., Xu, Y.S., Qiang, W.Y.: Path planning of free-floating robot in cartesian space using direct kinematics. Int. J. Adv. Rob. Syst. 4, 17–26 (2007)
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1, 33–57 (2007)
Bergh, F.D., Engelbrecht, A.P.: A new locally convergent particle swarm optimizer. In: IEEE Conference on Systems Man and Cybernetics, pp. 96–101 (2002)
Sun, J., Feng, B., Xu, W.B.: Particle swam optimization with particles having uqantum behavior. Evol. Comput. 1(1), 325–331 (2004)
Shi, Y., Liang, B., Wang, X.Q., Xu, W.F.: Cartesian non-holonomic path planning of space robot based on quantum-behaved particle swarm optimization algorithm. J. Mech. Eng. 47(23), 65–72 (2011)
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Hu, T., Zhang, J., Zhang, Q. (2015). Trajectory Planning to Optimize Base Disturbance of 7-DOF Free-Floating Space Manipulator Based on QPSO. In: Bikakis, A., Zheng, X. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2015. Lecture Notes in Computer Science(), vol 9426. Springer, Cham. https://doi.org/10.1007/978-3-319-26181-2_27
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DOI: https://doi.org/10.1007/978-3-319-26181-2_27
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