Adaptive inverse modeling of a shape memory alloy wire actuator and tracking control with the model /

Bibliographic Details
Main Author:	Koh, Bong Su
Other Authors:	Junkins, John L. (Thesis advisor)
Format:	Thesis eBook
Language:	English
Published:	[College Station, Tex.] : [Texas A&M University], [2010]
Subjects:	Major Aerospace Engineering. Adaptive control Adaptive inverse modeling Orthogonal polynomial network KP operator Hysteresis Preisach operator Shape memory alloy
Online Access:	Link to OAK Trust copy

Description
Abstract:	It is well known that the Preisach model is useful to approximate the effect of hysteresis behavior in smart materials, such as piezoactuators and Shape Memory Alloy(SMA) wire actuators. For tracking control, many researchers estimate a Preisach model and then compute its inverse model for hysteresis compensation. However, the inverse of its hysteresis behavior also shows hysteresis behavior. From this idea, the inverse model with Kransnoselskii-Pokrovskii(KP) model, a developed version of Preisach model, can be used directly for SMA position control and avoid the inverse operation. Also, we propose another method for the tracking control by approximating the inverse model using an orthogonal polynomial network. To estimate and update the weight parameters in both inverse models, a gradient-based learning algorithm is used. Finally, for the SMA position control, PID controller, adaptive controllers with KP model and adaptive nonlinear inverse model controller are compared experimentally.
Item Description:	"Major Subject: Aerospace Engineering" Title from author supplied metadata (automated record created 2010-03-12 12:08:51). Electronic resource.
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references.