H∞ robustification control of existing piezoelectric-stack actuated nanomanipulators

In current AFM-based nanomanipulation systems, the commercial position closed-loop controller for piezoelectric nanopositioning stages are implemented with success in a wide range of industrial applications. Even if these controllers operate with satisfactory nominal tracking performance, considerab...

Full description

Saved in:
Bibliographic Details
Published in2009 IEEE International Conference on Robotics and Automation pp. 3353 - 3358
Main Authors Ladjal, H., Hanus, J.-L., Ferreira, A.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.05.2009
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In current AFM-based nanomanipulation systems, the commercial position closed-loop controller for piezoelectric nanopositioning stages are implemented with success in a wide range of industrial applications. Even if these controllers operate with satisfactory nominal tracking performance, considerable attention has been focused on appropriate control strategies to compensate hysteresis, nonlinearities, drift and creep for high bandwidths and large scanning regimes. As these closed-loop controllers are very cost-effective, a special interest in robust plug-in compensators seems to be a solution. We proposed in this paper a robust plug-in compensator using the H-infinity loop-shaping techniques which can be plugged into the existing controller without affecting the already satisfactory nominal tracking performance of the existing closed-loop system. Dynamic modeling, identification and robust control of a 3 d.o.f. piezoelectric nanorobotic positioner are presented in this paper in order to improve the nanorobot performance under plant parameter variations and in the presence of external disturbances. Simulation and experimental results are given to validate the proposed plug-in robust compensator in the case of a nanorobotic manipulation task.
ISBN:1424427886
9781424427888
ISSN:1050-4729
2577-087X
DOI:10.1109/ROBOT.2009.5152701