Operational Space Dynamics of a Space Robot and Computational Efficient Algorithm

On-orbit servicing space robot is one of the challenging applications in space robotic field. Main task of the on-orbit space robot involves the tracking, the grasping and the positioning of a target. The dynamics in operational space is useful to achieve such tasks in Cartesian space. The operational space dynamics is a formulation of the dynamics of a complex branching redundant mechanism in task or operational points. Khatib proposed the formulation of a serial robot manipulator system on ground in (Khatib, 1987). Russakow et. al. modified it for a branching manipulator system in (Russakow et al., 1995). Chang and Khatib introduced efficient algorithms for this formulation, especially for operational space inertia matrix in (Chang & Khatib, 1999; 2000). The operational space dynamics of the space robot is more complex than that of the groundbased manipulator system since the base-satellite is inertially free. However, by virtue of no fixed-base, the space robot is invertible in its modeling and arbitrary operational points to control can be chosen in a computational efficientmanner. Bymaking use of this unique characteristic, we firstly propose an algorithm of the dynamics of a single operational point in the space robot system. Then, by using the concept of the articulated-body algorithm(Featherstone, 1987), we propose a recursive computation of the dynamics of multi-operational points in the space robot. The numerical simulations are carried out using a two-arm space robot shown in Fig. 1. This chapter is organized as follows. Section 2 describes basic dynamic equations of freeflying and free-floating space robots. Section 3 derives the operational space formulation of both types of space robots. Section 4 briefly introduces spatial notation to represent complex robot kinematics and dynamics, which is used for the derivation of the proposed algorithms. Section 5 describes recursive algorithms of the generalized Jacobian matrix(Xu & Kanade, 1993), that is a Jacobian matrix including dynamical coupling between the base body and the robot arm. Section 6 proposes computational efficient algorithms of the operational space dynamics. Section 7 shows the simulation example of the proposed algorithms. Section 8 summarizes the conclusions.

[1]  Tsuneo Yoshikawa,et al.  Efficient computational algorithms for trajectory control of free-flying space robots with multiple arms , 1993, IEEE Trans. Robotics Autom..

[2]  K. W. Lilly,et al.  Efficient Dynamic Simulation of Robotic Mechanisms , 1993 .

[3]  Darrell K. Root,et al.  Space Robotics: Dynamics and Control , 1996 .

[4]  Kazuya Yoshida,et al.  Resolved motion rate control of space manipulators with generalized Jacobian matrix , 1989, IEEE Trans. Robotics Autom..

[5]  Oussama Khatib,et al.  Operational space dynamics: efficient algorithms for modeling and control of branching mechanisms , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[6]  Oussama Khatib,et al.  Extended operational space formulation for serial-to-parallel chain (branching) manipulators , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[7]  Oussama Khatib,et al.  A unified approach for motion and force control of robot manipulators: The operational space formulation , 1987, IEEE J. Robotics Autom..

[8]  Roy Featherstone,et al.  Robot Dynamics Algorithms , 1987 .

[9]  Oussama Khatib,et al.  Efficient algorithm for extended operational space inertia matrix , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).