CLC number: TP242
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-08-09
Cited: 0
Clicked: 6127
Hai-hui Yuan, Yi-min Ge, Chun-biao Gan. Control strategy for gait transition of an underactuated 3D bipedal robot[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(8): 1026-1035.
@article{title="Control strategy for gait transition of an underactuated 3D bipedal robot",
author="Hai-hui Yuan, Yi-min Ge, Chun-biao Gan",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="8",
pages="1026-1035",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800206"
}
%0 Journal Article
%T Control strategy for gait transition of an underactuated 3D bipedal robot
%A Hai-hui Yuan
%A Yi-min Ge
%A Chun-biao Gan
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 8
%P 1026-1035
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%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800206
TY - JOUR
T1 - Control strategy for gait transition of an underactuated 3D bipedal robot
A1 - Hai-hui Yuan
A1 - Yi-min Ge
A1 - Chun-biao Gan
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 8
SP - 1026
EP - 1035
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1800206
Abstract: Significant research interest has recently been attracted to the study of bipedal robots due to the wide variety of their potential applications. In reality, bipedal robots are often required to perform gait transitions to achieve flexible walking. In this paper, we consider the gait transition of a five-link underactuated three-dimensional (3D) bipedal robot, and propose a two-layer control strategy. The strategy consists of a unique, event-based, feedback controller whose feedback gain in each step is updated by an adaptive control law, and a transition controller that guides the robot from the current gait to a neighboring point of the target gait so that the state trajectory can smoothly converge to the target gait. Compared with previous works, the transition controller is parameterized and its control parameters are obtained by solving an optimization problem to guarantee the physical constraints in the transition process. Finally, the effectiveness of the control strategy is illustrated on the underactuated 3D bipedal robot.
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