Impedance control of secondary regulated hydraulic crane in the water entry phase

2018 ◽  
Vol 169 ◽  
pp. 134-143 ◽  
Author(s):  
Jinbo Wu ◽  
Zeyu Yang ◽  
Donglai Wu
2014 ◽  
Vol 672-674 ◽  
pp. 1770-1773 ◽  
Author(s):  
Fu Cheng Cao ◽  
Li Min Du

Aimed at improving the dynamic response of the lower limb for patients, an impedance control method based on sliding mode was presented to implement an active rehabilitation. Impedance control can achieve a target-reaching training without the help of a therapist and sliding mode control has a robustness to system uncertainty and vary limb strength. Simulations demonstrate the efficacy of the proposed method for lower limb rehabilitation.


2020 ◽  
Vol 32 (6) ◽  
pp. 1178-1190
Author(s):  
Gui-yong Zhang ◽  
Zhao Hou ◽  
Tie-zhi Sun ◽  
Hai-peng Wei ◽  
Ning Li ◽  
...  

2021 ◽  
Vol 180 ◽  
pp. 482-491
Author(s):  
Ghulam Muhammad Ali ◽  
Asif Mansoor ◽  
Shuai Liu ◽  
Jacek Olearczyk ◽  
Ahmed Bouferguene ◽  
...  

Author(s):  
Yali Han ◽  
Jinfei Shi ◽  
Han Sun ◽  
Weijie Zhou ◽  
Hongyao Guan ◽  
...  

2021 ◽  
Vol 221 ◽  
pp. 108526
Author(s):  
Yu Hou ◽  
Zhengui Huang ◽  
Zhihua Chen ◽  
Zeqing Guo ◽  
Lei Han
Keyword(s):  

2021 ◽  
Author(s):  
Loris Roveda ◽  
Dario Piga

AbstractIndustrial robots are increasingly used to perform tasks requiring an interaction with the surrounding environment (e.g., assembly tasks). Such environments are usually (partially) unknown to the robot, requiring the implemented controllers to suitably react to the established interaction. Standard controllers require force/torque measurements to close the loop. However, most of the industrial manipulators do not have embedded force/torque sensor(s) and such integration results in additional costs and implementation effort. To extend the use of compliant controllers to sensorless interaction control, a model-based methodology is presented in this paper. Relying on sensorless Cartesian impedance control, two Extended Kalman Filters (EKF) are proposed: an EKF for interaction force estimation and an EKF for environment stiffness estimation. Exploiting such estimations, a control architecture is proposed to implement a sensorless force loop (exploiting the provided estimated force) with adaptive Cartesian impedance control and coupling dynamics compensation (exploiting the provided estimated environment stiffness). The described approach has been validated in both simulations and experiments. A Franka EMIKA panda robot has been used. A probing task involving different materials (i.e., with different - unknown - stiffness properties) has been considered to show the capabilities of the developed EKFs (able to converge with limited errors) and control tuning (preserving stability). Additionally, a polishing-like task and an assembly task have been implemented to show the achieved performance of the proposed methodology.


2021 ◽  
Vol 226 ◽  
pp. 108864
Author(s):  
Chunyong Fan ◽  
Xiangwei Dong ◽  
Zengliang Li

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