...
首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors
【24h】

A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors

机译:惯性传感器的工业机械手联合角估计方法

获取原文
获取原文并翻译 | 示例

摘要

This paper focuses on the use of low-cost inertial sensors in industrial manipulators. In particular, an easy-to-install joint-angle estimation method is proposed. This scheme can work independently from the primary encoder-based sensor, for the creation of a fault-detection system. It can also be the primary joint-angle sensor in low-cost robotic manipulators. A robot with six degrees of freedom has been used, with three inertial measurement units set on its arms; one for each pair of joints. Three cascaded extended Kalman filters have been used to estimate the joint angles by the fusion of the outputs of triaxial gyroscopes and accelerometers. The results of three experimental tests are reported in order to show the performance and limitations of this approach, in comparison with the simple gyroscope measurements integration.
机译:本文重点介绍在工业机械手中使用低成本惯性传感器。特别地,提出了一种易于安装的关节角估计方法。该方案可以独立于基于编码器的主要传感器工作,以创建故障检测系统。它也可以是低成本机器人操纵器中的主要关节角度传感器。使用了具有六个自由度的机器人,其手臂上装有三个惯性测量单元。每对关节一个。三个级联扩展卡尔曼滤波器已用于通过融合三轴陀螺仪和加速度计的输出来估计关节角度。为了证明这种方法的性能和局限性,报告了三个实验测试的结果,与简单的陀螺仪测量结果进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号