Modeling, Compensation and Control of Smart Devices with Hysteresis

Davino, D.; Giustiniani, Alessandro; Visone, C.

doi:10.5772/51388

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…A review on the basic issues concerning the techniques to handle the smart material devices with hysteresis can be found e.g. in [12] and references therein. The hysteresis off-line and online identification, and that under the circumstances of real and often limited measurements, are addressed e.g.…”

Section: Introductionmentioning

confidence: 99%

Extended lumped parameter electromechanical model of piezoelectric actuators

Ruderman

Kamiya

Iwasaki

2015

2015 IEEE International Conference on Mechatronics (ICM)

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The lumped parameter electromechanical model of piezoelectric actuators, proposed former in the literature, is extended by the state-varying capacitance and Voigt-Kelvintype linear creep effect. This relates the converse piezoelectric effect, i.e. actuator displacement, to the remnant polarization of piezo-ceramic and associated creeping charge flow. The proposed modeling extension interconnects both the electrical and mechanical domains and provides a physically reasonable cause-effect relationship of the creep effect. Furthermore, the role of the initial hysteresis state, often omitted when modeling the piezoelectric actuators, is emphasized and explained in details, while using the play-and stop-type hysteresis operators. A series of experimental model verification are accomplished on the standard piezoelectric stack actuator when measuring the controllable input voltage and output displacement.

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Section: Introductionmentioning

confidence: 99%

Extended lumped parameter electromechanical model of piezoelectric actuators

Ruderman

Kamiya

Iwasaki

2015

2015 IEEE International Conference on Mechatronics (ICM)

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“…Smart material systems, such as piezoelectric and magnetostrictive materials, SMA (shape memory alloys), MSMA (magnetic shape memory alloys), and others, exhibit a largescale hysteresis effect in their input-output characteristics, see [3], [4], [5] and references therein for overview. A reliable identification of hysteresis effects from limited or noisecorrupted experimental data belongs to the most relevant practical issues when one deals with smart material structures and devices.…”

Section: Introductionmentioning

confidence: 99%

Online identification of piezoelectric hysteresis by direct recursive algorithm of Preisach model

Ruderman

Рачинский

2015

2015 IEEE International Conference on Mechatronics (ICM)

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A direct recursive identification method for determining online the Preisach hysteresis density function has been recently proposed in [1]; its convergence was rigorously proved in [2]. One of the possible application areas relates to the identification of large-scale hysteresis effects in smartmaterial systems. This paper discusses an application of the direct recursive identification method to the input-output voltage-todisplacement measurements of piezoelectric hysteresis in a standard piezo-actuated stage. We excite the piezoelectric actuator in an open-loop manner through an appropriate notch-filter, designed beforehand, so as to suppress two dominant harmonics of mechanical domain and obtain the hysteresis response without dynamical by-effects. The applied input sequence is a simple (memoryless) Bernoulli process which is easy to generate in practice. This input does not impose any special requirements on the experimental design and control/accuracy of the input signal. The experimental evaluation is provided along with a discussion of an envisaged application.

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Rate-independent memory in magneto-elastic materials

Davino¹,

Visone²

2015

Discrete &Amp; Continuous Dynamical Systems - S

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Modeling, Compensation and Control of Smart Devices with Hysteresis

Cited by 3 publications

References 45 publications

Extended lumped parameter electromechanical model of piezoelectric actuators

Extended lumped parameter electromechanical model of piezoelectric actuators

Online identification of piezoelectric hysteresis by direct recursive algorithm of Preisach model

Rate-independent memory in magneto-elastic materials

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