Statistical Parameter Estimation for Macro Fiber Composite Actuators using the Homogenized Energy Model

被引:3
作者
Hu, Zhengzheng [1 ]
Smith, Ralph C. [1 ]
Stuebner, Michael [1 ]
Hays, Michael [2 ]
Oates, William S. [2 ]
机构
[1] North Carolina State Univ, Dept Math, Box 8205, Raleigh, NC 27695 USA
[2] Florida State Univ, Dept Mech Engn, Tallahassee, FL 32306 USA
来源
BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2011 | 2011年 / 7978卷
关键词
Nonlinear piezoelectric model; macro fiber composite; WILD BOOTSTRAP;
D O I
10.1117/12.884622
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Macro Fiber Composites (MFC) are planar actuators comprised of PZT fibers embedded in an epoxy matrix that is sandwiched between electrodes. Due to their construction, they exhibit significant durability and flexibility in addition to being lightweight and providing broadband inputs. They are presently being considered for a range of applications including positioning and control of membrane mirrors and configurable aerospace structures. However, they also exhibit hysteresis and constitutive nonlinearities that must be incorporated in models to achieve the full potential of the devices. In this paper, we discuss the development of a model that quantifies the hysteresis and constitutive nonlinearities in a manner that promotes subsequent control design. The constitutive model is constructed using the homogenized energy framework for ferroelectric hysteresis and used to develop resulting system models. The performance of the models is validated with experimental data.
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页数:9
相关论文
共 15 条
[1]  
Banks H. T., 2007, WORKSH BIOM MOD CARD
[2]   High Speed Model Implementation and Inversion Techniques for Ferroelectric and Ferromagnetic Transducers [J].
Braun, T. R. ;
Smith, R. C. .
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2008, 19 (11) :1295-1310
[3]   A sensitivity matrix based methodology for inverse problem formulation [J].
Cintron-Arias, A. ;
Banks, H. T. ;
Capaldi, A. ;
Lloyd, A. L. .
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS, 2009, 17 (06) :545-564
[4]   The wild bootstrap, tamed at last [J].
Davidson, Russell ;
Flachaire, Emmanuel .
JOURNAL OF ECONOMETRICS, 2008, 146 (01) :162-169
[5]   BOOTSTRAP PROCEDURES UNDER SOME NON-IID MODELS [J].
LIU, RY .
ANNALS OF STATISTICS, 1988, 16 (04) :1696-1708
[6]   Bootstrap methods in econometrics [J].
MacKinnon, James G. .
ECONOMIC RECORD, 2006, 82 :S2-S18
[7]   BOOTSTRAP AND WILD BOOTSTRAP FOR HIGH-DIMENSIONAL LINEAR-MODELS [J].
MAMMEN, E .
ANNALS OF STATISTICS, 1993, 21 (01) :255-285
[8]  
Matthews J., 2010, THESIS N CAROLINA ST
[9]  
Smith R., 2005, Smart Material Systems
[10]  
Smith RC, 2003, J INTEL MAT SYST STR, V14, P719, DOI [10.1177/1045389X03038841, 10.1177/104538903038841]