External force estimation using joint torque sensors for a robot manipulator

Author(s):  
Le Dinh Phong ◽  
Junho Choi ◽  
Sungchul Kang
2021 ◽  
Vol 18 (6) ◽  
pp. 172988142110637
Author(s):  
Huaimin Liu ◽  
Xiangjiang Wang ◽  
Meng Li

The safe disposal of nuclear waste in radioactive environment urgently needs cost-effective approaches. Toward this goal, this article developed a method to external force estimation based on the identified model without force sensors. Firstly, the mathematical model including joint friction was obtained and transformed into the linear combination of unknown parameter to be estimated. Secondly, the unknown parameters were identified based on the improved particle swarm optimization algorithm, the identification procedure was implemented by optimizing the excitation trajectories to excite joint motion and sampling relevant data. Identified results were compared with the biogeography-based optimization algorithm and the cuckoo search algorithm. Then, the identified dynamic parameter was applied to external force estimation. Finally, the verification of external force estimation has been carried out using the Kinova Jaco2 robot manipulator, and the experimental results showed that the external forces by the proposed method could be estimated with an root mean square error of 0.7 N.


2019 ◽  
Vol 39 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Jianjun Yuan ◽  
Yingjie Qian ◽  
Liming Gao ◽  
Zhaohan Yuan ◽  
Weiwei Wan

Purpose This paper aims to purpose an improved sensorless position-based force controller in gravitational direction for applications including polishing, milling and deburring. Design/methodology/approach The first issue is the external force/torque estimation at end-effector. By using motor’s current information and Moore-Penrose generalized inverse matrix, it can be derived from the external torques of every joints for nonsingular cases. The second issue is the force control strategy which is based on position-based impedance control model. Two novel improvements were made to achieve a better performance. One is combination of impedance control and explicit force control. The other one is the real-time prediction of the surface’s shape allowing the controller adaptive to arbitrary surfaces. Findings The result of validation experiments indicates that the estimation of external force and prediction of surface’s shape are credible, and the position-based constant contact force controller in gravitational direction is functional. The accuracy of force tracking is adequate for targeted applications such as polishing, deburring and milling. Originality/value The value of this paper lies in three aspects which are sensorless external force estimation, the combination of impedance control and explicit force control and the independence of surface shape information achieved by real-time surface prediction.


1996 ◽  
Vol 8 (3) ◽  
pp. 226-234
Author(s):  
Kiyoshi Ohishi ◽  
◽  
Masaru Miyazaki ◽  
Masahiro Fujita ◽  

Generally, hybrid control is realized by sensor signal feedback of position and force. However, some robot manipulators do not have a force sensor due to the environment. Moreover, a precise force sensor is very expensive. In order to overcome these problems, we propose the estimation system of reaction force without using a force sensor. This system consists of the torque observer and the inverse dynamics calculation. Using both this force estimation system and <I>H</I>∞ acceleration controller which is based on <I>H</I>∞ control theory, it takes into account the frequency characteristics of both sensor noise effect and disturbance rejection. The experimental results in this paper illustrate the fine hybrid control of the three tested degrees-of-freedom DD robot manipulator without force sensor.


2020 ◽  
Vol 32 (5) ◽  
pp. 1000-1009
Author(s):  
Koki Aizawa ◽  
Daisuke Haraguchi ◽  
Kotaro Tadano ◽  
◽  
◽  
...  

In robotic surgery, the load exerted on the insertion port in the patient’s abdominal wall due to misalignment of the robot’s remote center of motion and the insertion port or external forces acting on the tip of the forceps during surgery, can not only stress the patient’s body but also increase the friction between the robotic forceps and the trocar, and adversely affect fine surgical manipulations or the accuracy of force estimation. To reduce such loads on the insertion port in robotic surgery, this study proposes a control method for a surgical assist robotic arm with semi-active joints. The control method was implemented on a six-degree-of-freedom pneumatically driven vertical multi-joint robotic arm with a two-axis gimbal joint (two semi-active joints) that only executes torque control, which was previously developed by the authors, and verified through an experiment. The load on the insertion port is reduced by applying torque control on the semi-active joints to compensate for the external forces on the forceps. We constructed a control system that includes a disturbance compensator and conducted a velocity-control experiment by subjecting the forceps constrained by the insertion port to an external force. The results showed that when the torque was compensated for by the semi-active joints, the load on the insertion port was reduced by 65% and 52% when the external force on the tip of the forceps was 0 N and 3 N, respectively.


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