Torque Sensor Calibration Using Virtual Load for a Manipulator

被引:0
作者
Lee, Sang-Hyuk [1 ]
Kim, Young-Loul [1 ]
Song, Jae-Bok [1 ]
机构
[1] Korea Univ, Div Mech Engn, Seoul 136713, South Korea
关键词
Torque Sensor; Calibration; Crosstalk; Manipulator; DESIGN;
D O I
10.1007/s12541-010-0025-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Accurate load sensing of a manipulator becomes increasingly important in performing various tasks involving contact with an environment. Most of the research has been focused on improving the hardware of a force/torque sensor. The torque sensors for a manipulator suffer from crosstalk, which is difficult to compensate for even with sophisticated calibration. This research proposed a novel calibration method composed of two steps. Through the primary calibration, the torque sensor output can be related to the joint torques. The secondary calibration, which is based on a virtual load, is conducted to compensate for the crosstalk of a torque sensor. The virtual load is obtained from the sensed joint torques and manipulator configuration. Using the proposed calibration method, the external load acting on the end-effector of a manipulator can be accurately measured even with relatively low-quality torque sensors. The experimental results showed that the error in the load sensing was significantly reduced by the proposed calibration method.
引用
收藏
页码:219 / 225
页数:7
相关论文
共 50 条
[31]   Optimum calibration of a parallel kinematic manipulator using digital indicators [J].
V.B.Saputra ;
S.K.Ong ;
A.Y.C.Nee .
Advances in Manufacturing, 2014, 2 (03) :222-230
[32]   Embedded Six-DoF Force-Torque Sensor for Soft Robots With Learning-Based Calibration [J].
Torkaman, Tannaz ;
Roshanfar, Majid ;
Dargahi, Javad ;
Hooshiar, Amir .
IEEE SENSORS JOURNAL, 2023, 23 (04) :4204-4215
[33]   Load identification for a rolling disc: finite element discretization and virtual calibration [J].
Hamed Ronasi ;
Håkan Johansson ;
Fredrik Larsson .
Computational Mechanics, 2012, 49 :137-147
[34]   Load identification for a rolling disc: finite element discretization and virtual calibration [J].
Ronasi, Hamed ;
Johansson, Hakan ;
Larsson, Fredrik .
COMPUTATIONAL MECHANICS, 2012, 49 (02) :137-147
[35]   Bayesian Sensor Calibration [J].
Berger, Moritz ;
Schott, Christian ;
Paul, Oliver .
IEEE SENSORS JOURNAL, 2022, 22 (20) :19384-19399
[36]   Kinematic calibration and error compensation of a hexaglide parallel manipulator [J].
Guo, Jiangzhen ;
Wang, Dan ;
Fan, Rui ;
Chen, Wuyi ;
Zhao, Guohua .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2019, 233 (01) :215-225
[37]   Decoupled Speed and Torque Control of IPMSM Drives Using a Novel Load Torque Estimator [J].
Zaky, Mohamed ;
Elattar, Ehab ;
Metwaly, Mohamed .
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2017, 17 (03) :19-28
[38]   Calibration of reference torque wrenches using a 10 N m deadweight torque standard machine [J].
Nishino, Atsuhiro ;
Ogushi, Koji ;
Ueda, Kazunaga .
MEASUREMENT, 2015, 61 :1-8
[39]   Strategies for virtual in-situ sensor calibration in building energy systems [J].
Yoon, Sungmin ;
Yu, Yuebin .
ENERGY AND BUILDINGS, 2018, 172 :22-34
[40]   A SIX-DOF FORCE/TORQUE SENSOR FOR COLLABORATIVE ROBOT AND ITS CALIBRATION METHOD [J].
Trong-Hieu Tran ;
Tan-Phat Phan ;
Chao, Paul C. -P ;
Wang, Yu-Jen ;
Wang, Chun-Chieh .
PROCEEDINGS OF THE ASME 26TH ANNUAL CONFERENCE ON INFORMATION STORAGE AND PROCESSING SYSTEMS, 2017, 2017,