| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9546928 | ISA Transactions | 2005 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
May-Win L. Thein, Thomas Rendon, Eduardo A. Misawa,