A Novel Analytical Inverse Kinematics Method for SSRMS-Type Space Manipulators Based on the POE Formula and the Paden-Kahan Subproblem
Author(s) -
Yecong Wang,
Xilun Ding,
Zixin Tang,
Chengwei Hu,
Qingqing Wei,
Kun Xu
Publication year - 2021
Publication title -
international journal of aerospace engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 22
eISSN - 1687-5974
pISSN - 1687-5966
DOI - 10.1155/2021/6690696
Subject(s) - revolute joint , inverse kinematics , kinematics , control theory (sociology) , singularity , joint (building) , inverse , type (biology) , mathematics , forward kinematics , screw theory , parallel manipulator , computer science , mathematical analysis , engineering , artificial intelligence , robot , geometry , structural engineering , physics , classical mechanics , ecology , control (management) , biology
Space manipulators which have a similar symmetrical structure with seven revolute joints, such as the space station remote manipulator system (SSRMS), can be called SSRMS-type space manipulators. The analytical inverse kinematics of an SSRMS-type manipulator can be solved by locking a single joint; the locked joint (joint 1, 2, 6, or 7) can be determined by configuration analysis. Although widely used in establishing the kinematics of SSRMS-type manipulators, the Denavit-Hartenberg (DH) method has a singular problem when two adjacent joint axes are nearly parallel. To avoid this problem, this paper proposes a novel analytical inverse kinematics method for SSRMS-type manipulators based on the product of exponentials (POE) formula and the Paden-Kahan subproblem. Because of the symmetrical structure, an SSRMS-type manipulator degrades to two kinds of 6-degree-of-freedom (DOF) manipulators when locking a single joint (joint 1, 2, 6, or 7). The analytical inverse kinematics of these two kinds of 6-DOF manipulators is solved by combining the Paden-Kahan subproblems and geometric and algebraic methods, respectively. The proposed approach is not only singularity free compared with the traditional DH-based methods but also more accurate than the POE-based numerical solution. The simulation results verify the efficiency of the proposed approach.
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