Paper
13 June 1997 Nonlinear modeling for control of Terfenol-D-based actuators
David M. Dozor, Michael J. Gerver, John R. Swenbeck
Author Affiliations +
Abstract
Nonlinear modeling and control methods can be used to increase the usable range of operation of Terfenol-D. Presently, in dynamic applications the usable range of Terfenol-D is often limited to approximately 850ppm. This limitation is imposed by harmonic distortion, spurious vibration, and/or tracking error considerations. These nonlinear effects are due to large variations in the magnetoelastic parameters and hysteresis. The preliminary results of this program indicate that a large performance advantage may be gained through proper control of the nonlinearities. As an example, a recently designed reaction mass actuator that weighs 1.125lbm can produce peak forces as high as 125lbf. However, to limit the open-loop total harmonic distortion to less than 2 percent requires that peak forces be limited to roughly 65lbf. To determine the magnetoelastic parameters, quasi-static experiments were performed with a specially designed apparatus. The research included modeling and simulation based on the static nonlinear magnetoelastic equations. Under assumptions of quasi-static magnetoelastic behavior, a fourth-order linear model was extended with the static nonlinearities. The model is compared with preliminary experiments. These types of models will allow nonlinear control strategies to be developed for Terfenol-D based actuators, thus extending the harmonic-free operating range.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David M. Dozor, Michael J. Gerver, and John R. Swenbeck "Nonlinear modeling for control of Terfenol-D-based actuators", Proc. SPIE 3039, Smart Structures and Materials 1997: Mathematics and Control in Smart Structures, (13 June 1997); https://doi.org/10.1117/12.276582
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Cited by 5 scholarly publications.
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KEYWORDS
Actuators

Nonlinear control

Distortion

Magnetism

Silicon

Control systems

Ferroelectric materials

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