Title
Geometry-aided MEMS motion state estimation for multi-body manipulators
Abstract
We consider full motion state sensing of a rigid multi-body linkage assembly using rate gyros and linear accelerometers. The research is built upon micro-electromechanical systems (MEMS) components for low-cost “strap-down” implementation. An open-chain geometrical assembly motion model is proposed and validated experimentally using a minimum MEMS-configuration per link. The related inclination sensing, which is robust against linear and angular motion effects, proceeds in a novel cascaded manner and is founded on the complementary and Kalman filtering principles for exclusive low delay. This is demonstrated by a suite of experiments on a robotic vertically mounted three-link planar arm rig.
Year
DOI
Venue
2013
10.1109/AIM.2013.6584115
AIM
Keywords
Field
DocType
kalman filters,accelerometers,gyroscopes,micromanipulators,motion estimation,robotic assembly,state estimation,kalman filtering principles,angular motion effects,geometry-aided mems motion state estimation,linear accelerometers,linear motion effects,low-cost strapdown implementation,microelectromechanical system components,minimum mems-configuration per link,multibody manipulators,open-chain geometrical assembly motion model,rate gyros,rigid multibody linkage assembly,robotic vertically mounted three-link planar arm rig
Motion control,Gyroscope,Microelectromechanical systems,Control theory,Accelerometer,Computer science,Control engineering,Kalman filter,Circular motion,Planar,Motion estimation
Conference
ISSN
ISBN
Citations 
2159-6247
978-1-4673-5319-9
3
PageRank 
References 
Authors
0.50
6
4
Name
Order
Citations
PageRank
Juho Vihonen1257.49
Honkakorpi, J.250.94
Jouni Mattila36920.68
Ari Visa457857.54