首页 /研究 /Unified external torque-sensing algorithm for flexible-joint robot based on Kalman filter
MANIPULATION

Unified external torque-sensing algorithm for flexible-joint robot based on Kalman filter

Young Jin Park, Wan Kyun Chung

发表年份
2013
引用次数
4

摘要

The external torque estimation problem in a flexible-joint robot system with joint torque sensors is revisited. A flexible-joint robot has two dynamics, motor dynamics and manipulator dynamics, resulting undesirable sensor torques reflecting neither the external link torques nor the actuating motor torques. A unified external torque-sensing algorithm for a flexible-joint robot is proposed, which estimates all the external torques by full utilizing the flexible-joint robot dynamics, regardless of the flexible-joint robot system condition. The basic structure of the proposed algorithm is illustrated, and the performance verification is briefly discussed.

关键词

TorqueControl theory (sociology)RobotJoint (building)Kalman filterComputer scienceExtended Kalman filterControl engineeringEngineeringArtificial intelligence

相关论文

查看 MANIPULATION 分类全部论文