Statistical parameter estimation for macro fiber composite actuators using the homogenized energy model

Zhengzheng Hu; Ralph C. Smith; Michael Stuebner; Michael Hays; William S. Oates

doi:10.1117/12.884622

27 April 2011 Statistical parameter estimation for macro fiber composite actuators using the homogenized energy model

Zhengzheng Hu, Ralph C. Smith, Michael Stuebner, Michael Hays, William S. Oates

Proceedings Volume 7978, Behavior and Mechanics of Multifunctional Materials and Composites 2011; 797806 (2011) https://doi.org/10.1117/12.884622
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

Abstract

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.

Citation Download Citation

Zhengzheng Hu, Ralph C. Smith, Michael Stuebner, Michael Hays, and William S. Oates "Statistical parameter estimation for macro fiber composite actuators using the homogenized energy model", Proc. SPIE 7978, Behavior and Mechanics of Multifunctional Materials and Composites 2011, 797806 (27 April 2011); https://doi.org/10.1117/12.884622

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