DocumentCode :
2246801
Title :
Intelligent control of an experimental articulated leg for a galloping machine
Author :
Palmer, Luther R. ; Orin, David E. ; Marhefka, Duane W. ; Schmiedeler, James P. ; Waldron, Kenneth J.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume :
3
fYear :
2003
fDate :
14-19 Sept. 2003
Firstpage :
3821
Abstract :
Intelligent controllers are being used with increasing effectiveness on complex systems. This work verifies the effectiveness of fuzzy control, an intelligent method, on a single, articulated-leg that was designed to be used on a high-speed galloping quadruped. Intelligent methods are compared to other control methods in simulation and on the OSU DASH (Dynamic Articulated Structure for High-performance) leg. It is shown that the intelligent controllers outperform non-learning methods. Using fuzzy control, the OSU DASH leg performs stable hopping on a treadmill moving at 2.0 m/s.
Keywords :
fuzzy control; intelligent control; learning (artificial intelligence); legged locomotion; 2 m/s; Levenberg-Marquardt learning; articulated leg; controllers; dynamic articulated structure; fuzzy control; high speed galloping quadruped; intelligent control; nonlearning methods; Biological systems; Control systems; Foot; Fuzzy control; Intelligent control; Kinematics; Land vehicles; Leg; Legged locomotion; Springs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-7736-2
Type :
conf
DOI :
10.1109/ROBOT.2003.1242183
Filename :
1242183
Link To Document :
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