other · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2008
Kinematic performance analysis of a parallel-chain hexapod machine
Jing Song; Jong-I Mou; Calvin King
Cited by 0Open access
Abstract
Inverse and forward kinematic models were derived to analyze the performance of a parallel-chain hexapod machine. Analytical models were constructed for both ideal and real structures. Performance assessment and enhancement algorithms were developed to determine the strut lengths for both ideal and real structures. The strut lengths determined from both cases can be used to analyze the effect of structural imperfections on machine performance. In an open-architecture control environment, strut length errors can be fed back to the controller to compensate for the displacement errors and thus improve the machine's accuracy in production.
Cite this paper
King, J. S. J.-I. M. C. (2008). Kinematic performance analysis of a parallel-chain hexapod machine. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
King, Jing Song; Jong-I Mou; Calvin. “Kinematic performance analysis of a parallel-chain hexapod machine.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), 2008.
King, Jing Song; Jong-I Mou; Calvin. 2008. “Kinematic performance analysis of a parallel-chain hexapod machine.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
King, J.S.J.-I.M.C. (2008) ‘Kinematic performance analysis of a parallel-chain hexapod machine’, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
@misc{king2008kinematic,
title = {{Kinematic performance analysis of a parallel-chain hexapod machine}},
author = {King, Jing Song; Jong-I Mou; Calvin},
journal = {OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.