DocumentCode :
741045
Title :
Biped Walking Pattern Generation by Using Preview Control Based on Three-Mass Model
Author :
Shimmyo, S. ; Sato, Takao ; Ohnishi, Kengo
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Volume :
60
Issue :
11
fYear :
2013
Firstpage :
5137
Lastpage :
5147
Abstract :
Biped walking robots have been widely researched because biped walking is considered as an effective way to locomote in human environments. There are a lot of ways to generate biped walking patterns, and it is widely known that the model certainty of the robot and the immediate generation of the trajectory are very important. Using preview control is a useful way to generate the walking patterns. By using the preview control method, modeling errors, which are generated by using a simple model, can be compensated by using the preview controller again in the conventional approaches. As a matter of fact, it is known that it takes much time to generate the trajectory by using the preview controller again. In this paper, biped walking pattern generation by using preview control based on a three-mass model is proposed. By using the proposed method, the modeling errors can be decreased without using the preview controller again, which means that the immediate generation of the trajectory can be achieved. The validity of the proposed method is confirmed by numerical examples and experimental results.
Keywords :
legged locomotion; motion control; trajectory control; ZMP; biped walking pattern generation; modeling error compensation; motion control technologies; preview control method; three-mass model; trajectory generation; zero-moment point; Equations; Legged locomotion; Mathematical model; Numerical models; Robot kinematics; Trajectory; Biped robot; preview control; three-mass model; walking pattern generation; zero-moment point (ZMP);
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2012.2221111
Filename :
6316165
Link To Document :
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