1.
ISA Trans
; 44(3): 413-22, 2005 Jul.
Artigo
em Inglês
| MEDLINE
| ID: mdl-16082789
RESUMO
This paper presents the application of a discrete adaptive observer (DAO) to an IBM head/disk assembly system. Because of the difficulties in tuning, a genetic algorithm is implemented off-line to obtain optimal observer parameters for the DAO. Simulations show that the genetic algorithm is successful in choosing appropriate observer gains. Furthermore, as a result of these optimal gains, the observer state and parameter estimates converge accurately and quickly.