

FOLLOWUS
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
[ "Hai-hui YUAN, E-mail:hh_yuan@zju.edu.cn" ]
[ "Yi-min GE, E-mail: geyimin@zju.edu.cn" ]
Chun-biao GAN, E-mail:cb_gan@zju.edu.cn
Received:03 April 2018,
Revised:2019-;8-;9,
Published:2019-08
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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.
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. DOI: 10.1631/FITEE.1800206.
由于应用前景广泛,双足机器人研究引起国内外学者重点关注。实际中,双足机器人常需进行步态切换以实现灵活步行。本文针对一个五杆欠驱动3D双足机器人步态切换问题,提出一种基于分层控制的切换控制策略。该策略包括切换控制器设计以及基于事件的反馈控制器设计。所设计的基于事件反馈控制器会在每一步对反馈增益进行自适应更新,而所设计的切换控制器将引导机器人从当前步态到达目标步态的邻域范围以实现平滑收敛。与以往研究相比,本文采用参数优化法设计切换控制器参数,确保机器人在步态切换过程中满足物理约束条件。最后,为验证所提控制策略的有效性,针对欠驱动3D双足机器人进行了数值仿真验证。
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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