DocumentCode
2034943
Title
Identification and decoupling control of flexure jointed hexapods
Author
Chen, Yixin ; McInroy, John E.
Author_Institution
Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
1936
Abstract
By exploiting properties of the joint space mass-inertia matrix of flexure jointed hexapods, a decoupling method is proposed. The decoupling method, through a static input-output mapping, transforms the highly coupled 6 input 6 output dynamics into 6 independent single-input single-output (SISO) channels. Controls for these SISO channels are far simpler than their multiple-input multiple-output counterparts. Prior decoupling control algorithms imposed severe constraints on the allowable geometry, workspace, and payload. The paper derives a new algorithm which removes these constraints, thus greatly expanding the applications. Based on the new decoupling algorithm, an identification algorithm is introduced to identify the joint space mass-inertia matrix using payload accelerations and base forces. This algorithm can be used for precision payload calibration, this improving performance and removing the labor required to design the control for different payloads. The new decoupling algorithm is experimentally compared to earlier techniques. These experimental results indicate that the new approach is practical and improves performance
Keywords
Jacobian matrices; identification; legged locomotion; robot dynamics; SISO channels; decoupling control; flexure jointed hexapods; highly coupled 6 input 6 output dynamics; identification algorithm; joint space mass-inertia matrix; payload accelerations; precision payload calibration; static input-output mapping; Algorithm design and analysis; Calibration; End effectors; Friction; Geometry; Joining materials; MIMO; Payloads; Solid modeling; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1050-4729
Print_ISBN
0-7803-5886-4
Type
conf
DOI
10.1109/ROBOT.2000.844878
Filename
844878
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