1,721,101 research outputs found
Fully coupled modeling of magneto-mechanical hysteresis through ‘thermodynamic’compatibility
No full textSimulation of field effects on the mechanical hysteresis of Terfenol rods and magnetic shape memory materials using vector Preisach-type models
No full textVector preisach modeling of magnetic shape memory materials oriented to power harvesting applications
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Experimental Characterization of a Three-Rod Magnetostrictive Device for Energy Harvesting
No full textCompensation of Magnetostrictive Hysteresis by Arduino: Floating Versus Fixed-Point Performances
No full textThe use of embedded computational capabilities in devices with magnetostrictive materials allows the design of objects, able to show smart features without the use of external controllers/devices. However, in the magnetostrictive devices world, the problem of getting smart performances in actuation and sensing, with a lower cost, has been faced a few times to date. In this paper, we present the compensation of the hysteresis of a magnetostrictive actuator using a low-cost Arduino platform (fixed-point mathematic). In this case, a quasi-linear actuator is obtained. The experimental performances are compared with the ones of a standard xpctarget-MATLAB environment (floating point mathematic). We found that the Arduino solution is largely acceptable, dealing with compensation errors within a few percents, and fast enough compensation times, up to sampling frequencies of kilohertz
On forward and inverse uncertainty quantification for models involving hysteresis operators
Full text linkParameters within hysteresis operators modeling real world objects have to be identified from measurements and are therefore subject to corresponding errors. To investigate the influence of these errors, the methods of Uncertainty Quantification (UQ) are applied. Results of forward UQ for a play operator with a stochastic yield limit are presented. Moreover, inverse UQ is performed to identify the parameters in the weight function in a Prandtl-Ishlinskiĭ operator and the uncertainties of these parameters
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