DocumentCode :
2644237
Title :
Adaptive virtual model control of a bipedal walking robot
Author :
Jianjuen Hrr ; Pratt, Jerry ; Chew, Chee-Meng ; Herr, Hugh ; Pratt, Gill
Author_Institution :
Leg Lab., MIT, Cambridge, MA, USA
fYear :
1998
fDate :
21-23 May 1998
Firstpage :
245
Lastpage :
251
Abstract :
The robustness of bipedal walking robots can be enhanced by the use of adaptive control techniques. We extend a previous control approach, virtual model control (VMC) (Pratt et al., 1997), to create adaptive virtual model control (AVMC). The adaptation compensates for external disturbances and unmodelled dynamics, enhancing robustness in the control of height, pitch, and forward speed. The state machine used to modulate the virtual model components and to select the appropriate virtual to physical transformations (as in traditional VMC) is also used to inform the adaptation about the robot´s changing configuration. The design procedure for AVMC is described in this paper and simulation results are presented for a planar walking biped
Keywords :
adaptive control; control system synthesis; legged locomotion; robot dynamics; robust control; velocity control; adaptive virtual model control; bipedal walking robot; forward speed control; height control; pitch control; planar walking biped; robustness; state machine; virtual model control; Adaptive control; Electrical capacitance tomography; Force control; Laboratories; Leg; Legged locomotion; Physics; Programmable control; Tellurium; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
Type :
conf
DOI :
10.1109/IJSIS.1998.685453
Filename :
685453
Link To Document :
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