Development of Compliance Mechanism for Aerial Manipulator to Contact Wall

Author(s):  
Takahiro Ikeda ◽  
S. Yasui ◽  
S. Minamiyama ◽  
K. Ohara ◽  
A. Ichikawa ◽  
...  
Author(s):  
Yinshuai Sun ◽  
Zhongliang Jing ◽  
Peng Dong ◽  
Jianzhe Huang ◽  
Wujun Chen ◽  
...  

2021 ◽  
Author(s):  
Zizhen Ouyang ◽  
Ruidong Mei ◽  
Zisen Liu ◽  
Mingxin Wei ◽  
Zida Zhou ◽  
...  

Author(s):  
Jameson Y. Lee ◽  
Zachary Cook ◽  
Alexander Barzilov ◽  
Woosoon Yim

Multirotor Unmanned Aerial Systems (UAS) are highly mobile in flight and possess stable hovering capabilities. Because of their unique flight characteristics, the utilization of the platform for active tasks such as aerial manipulation is highly attractive. Much work has been done in recent years towards the implementation of multirotor for aerial manipulation, however, progress in the field has been slow due to the many challenges involved in the implementation of robust rotor control. In an attempt to reduce the effects of the manipulator, a technique for disturbance rejection using a novel balancing mechanism is proposed. In this paper, the dynamic equations of a coupled multirotor and manipulator are analyzed as a single body for use in the attitude control of the platform. By mounting the mechanism, the platform effectively gains marginal control over the positioning of its center of gravity relative to a body fixed frame. It can be shown that the increased mobility can be utilized to reduce rotor saturation for any given flight condition and improve the effectiveness of previously developed rotor control methods.


Author(s):  
Robert M. Jones ◽  
Donglei Sun ◽  
Gabriel Barsi Haberfeld ◽  
Arun Lakshmanan ◽  
Thiago Marinho ◽  
...  

Robotica ◽  
2018 ◽  
Vol 36 (10) ◽  
pp. 1527-1550 ◽  
Author(s):  
Francesco Pierri ◽  
Giuseppe Muscio ◽  
Fabrizio Caccavale

SUMMARYThis paper addresses the trajectory tracking control problem for a quadrotor aerial vehicle, equipped with a robotic manipulator (aerial manipulator). The controller is organized in two layers: in the top layer, an inverse kinematics algorithm computes the motion references for the actuated variables; in the bottom layer, a motion control algorithm is in charge of tracking the motion references computed by the upper layer. To the purpose, a model-based control scheme is adopted, where modelling uncertainties are compensated through an adaptive term. The stability of the proposed scheme is proven by resorting to Lyapunov arguments. Finally, a simulation case study is proposed to prove the effectiveness of the approach.


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