Modeling of Hysteresis and Backlash for a Smart Fin with a Piezoelectric Actuator

Document Type

Article

Publication Date

7-2011

Publication Title

Journal of Intelligent Material Systems and Structures

Volume

22

Issue

11

First page number:

1161

Last page number:

1176

Abstract

This work presents a dynamic model of a smart fin that is activated by a piezoelectric bimorph actuator, which is made by bonding two MFCs. The actuator is completely enclosed within the fin. Earlier research has indicated that the use of a linear model for the fin dynamics does not fully describe the fin. This work presents a more realistic approach to this problem by incorporating additional components into the model. Therefore, a proportional damping matrix is introduced. It is also observed that experimental results exhibit hysteresis and backlash. A Bouc-Wen hysteresis model, combined with four backlash operators, is proposed. These backlash operators are used to model the observed saturation and the non-symmetry of the response. HFSGA is used to identify the optimal set of parameters for the damping matrix constants, the Bouc-Wen model, and the backlash operators. One input case is considered for training the genetic algorithm. The results show that proposed model can predict the hysteresis of the smart fin-actuator system under various operational conditions.

Keywords

Backlash operators; Biomimicry; Bouc-Wen Model; Hybrid genetic algorithms; Hydrodynamics; Hysteresis; Piezoelectric actuator; Piezoelectric bimorph; Piezoelectric devices; Smart fin

Disciplines

Computer-Aided Engineering and Design | Controls and Control Theory | Electro-Mechanical Systems | Mechanical Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited

Publisher Citation

Journal of Intelligent Material Systems and Structures July 2011 vol. 22 no. 11 1161-1176

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