Title page for ETD etd-06102009-063028
|Type of Document
||Heydon, Bryan Dwayne
||Disturbance reduction in nonlinear systems via adaptive quenching
||Master of Science
|Baumann, William T.
|Neyfeh, Ali H.
|VanLandingham, Hugh F.
|Date of Defense
An indirect adaptive quenching algorithm for a nonlinear
single-degree-of-freedom system with unknown constant system parameters is
presented. The system is subject to external or parametric sinusoidal
disturbances and the resulting control signal is also sinusoidal. The
quenching algorithm provides a reduction in the control effort required
compared to direct disturbance cancellation. The disturbance sinusoid and
the unknown parameters are incorporated into the system model and an
extended Kalman filter (EKF) with modified update equations is used to
estimate the system state and parameters. The estimates are then used to
form the quenching signal. The adaptive quenching algorithm is found to work
well inside a quenching region defined by the separatrices and suggests the
use of a hybrid control law. The algorithm was verified by implementing it on
an analog computer.
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