DocumentCode
3170890
Title
Inverse compensation error of the Prandtl-Ishlinskii model
Author
Al Janaideh, Mohammad ; Chun-Yi Su ; Rakheja, Shaloo
Author_Institution
Dept. of Mechatron. Eng., Univ. of Jordan, Amman, Jordan
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
1597
Lastpage
1602
Abstract
Compensation of hysteresis nonlinearity of smart actuators through applications of an inverse hysteresis model generally yields errors when coupled with a plant. In this study, the resulting compensation error is analytically derived considering the Prandtl-Ishlinskii model and its inverse, which has not yet been reported. The proposed analytical error formulation could be conveniently applied in controller design for effective hysteresis compensation and thereby enhanced tracking performance of the smart material actuators. The initial loading curve and its inverse are presented for formulation of the estimated Prandtl-Ishlinskii model for describing hysteresis nonlinearity of a smart actuator and its inverse. The compensation error is subsequently derived analytically from composition of the Prandtl-Ishlinskii model with its inverse based on the inverse of initial loading curve. The properties of the compensation error are further illustrated, which also exhibits hysteresis nonlinearity that can be further characterized by a Prandtl-Ishlinskii model. The integration of the proposed analytical error model with the composition resulted in only negligible hysteresis compensation error. The simulation results suggest that a significantly improved tracking performance can be achieved in the closed-loop control system using the proposed analytical error model.
Keywords
closed loop systems; compensation; control system synthesis; hysteresis; intelligent actuators; Prandtl-Ishlinskii model; analytical error formulation; closed-loop control system; controller design; hysteresis nonlinearity compensation; inverse compensation error; inverse hysteresis model; smart actuators; Adaptation models; Analytical models; Control systems; Hysteresis; Load modeling; Loading; Numerical models;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426384
Filename
6426384
Link To Document