Referenced Items are not available for this document.
According to the hysteresis characteristics of the giant magnetostrictive actuator (MA), a dynamic recurrent neural network (DRNN) is constructed as the inverse hysteresis model of the MA, and an on-line hysteresis compensation control strategy combining the DRNN inverse compensator and a proportional derivative (PD) controller is used for precision position tracking of the MA. Simulation results validate the excellent performances of the proposed strategy
Published in:
Magnetics, IEEE Transactions on
(Volume:42
,
Issue:
4
)
Date of Publication: April 2006
- Page(s):
- 1143 - 1146
- ISSN :
- 0018-9464
- INSPEC Accession Number:
- 8951853
- Digital Object Identifier :
- 10.1109/TMAG.2006.871464
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 20 March 2006
- Issue Date :
- April 2006
- Sponsored by :
- IEEE Magnetics Society
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