DocumentCode :
739733
Title :
A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors
Author :
Cantelli, Luciano ; Muscato, Giovanni ; Nunnari, Marco ; Spina, Davide
Author_Institution :
Dipt. di Ing. Elettr. Elettron. e Inf., Univ. of Catania, Catania, Italy
Volume :
20
Issue :
5
fYear :
2015
Firstpage :
2486
Lastpage :
2495
Abstract :
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.
Keywords :
Kalman filters; accelerometers; estimation theory; gyroscopes; industrial manipulators; inertial navigation; parameter estimation; sensors; accelerometer; encoder-based sensor; extended Kalman filter; fault-detection system; gyroscope; industrial manipulator; inertial sensor; joint-angle estimation method; Accelerometers; Estimation; Gyroscopes; Joints; Manipulators; Sensors; Calibration; Kalman filtering; identification; manipulators; safety;
fLanguage :
English
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
Publisher :
ieee
ISSN :
1083-4435
Type :
jour
DOI :
10.1109/TMECH.2014.2385940
Filename :
7018962
Link To Document :
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