DocumentCode :
3301881
Title :
A globally exponentially convergent immersion and invariance speed observer for n degrees of freedom mechanical systems
Author :
Astolfi, Alessandro ; Ortega, Romeo ; Venkatraman, Aneesh
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
6508
Lastpage :
6513
Abstract :
The problem of velocity estimation for mechanical systems is of great practical interest. Although many partial solutions have been reported in the literature the basic question of whether it is possible to design a globally convergent speed observer for general n degrees of freedom mechanical systems remains open. In this paper an affirmative answer to the question is given by proving the existence of a 3n + 1-dimensional globally exponentially convergent speed observer. Instrumental for the construction of the speed observer is the use of the Immersion and Invariance technique, in which the observer design problem is recast as a problem of rendering attractive and invariant a manifold defined in the extended state-space of the plant and the observer. Finally, the observer design scheme is illustrated on a 2-link planar robotic manipulator and is shown to be robust in the presence of uncertainties in the sensor measurements.
Keywords :
manipulators; observers; velocity measurement; globally exponentially convergent immersion; immersion technique; invariance speed observer; invariance technique; mechanical systems; observer design problem; sensor measurements; two-link planar robotic manipulator; velocity estimation; Instruments; Lagrangian functions; Manipulators; Mechanical systems; Robot kinematics; Robot sensing systems; Robustness; Transmission line matrix methods; Velocity control; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5399984
Filename :
5399984
Link To Document :
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