Attenuation and transformation of vibration through active control of magnetostrictive terfenol

Hiller, Maria; Bryant, Michael D.; Umegaki, Jun'ichi

doi:10.1016/0022-460x(89)90571-3

Cited by 63 publications

(38 citation statements)

References 10 publications

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“…*Author to whom correspondence should be addressed Using a redesigned actuator (Hiller, Bryant, and Umegaki, 1989), Bryant and Wang (1992) improved upon the model of Reed and Uldrick (1988) by including other magnetic effects (e.g., eddy currents and domain rotations on flux flow) and higher modes. One of their findings (Bryant and Wang, 1992) was the existence of one (or more) right hand plane zeroes in the displacement to coil voltage transfer function of the terfenol actuator.…”

Section: Introduction Imitations Of Passive Isolation Systems Have Madementioning

confidence: 98%

“…Hiller, Bryant, and Umegaki (1989) investigated the use of terfenol in a small actuating mechanism as both an active isolator and a signature altering device. As an isolator, the terfenol mount with a simple proportional controller provided an approximate 50% reduction in amplitude of vibration at frequencies below 20 Hz, and signature alteration was proven feasible.…”

Section: Introduction Imitations Of Passive Isolation Systems Have Madementioning

confidence: 99%

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Active Vibration Control in Structures Using Magnetostrictive Terfenol with Feedback and/or Neural Network Controllers

Bryant

Fernandez

Wang

et al. 1993

Journal of Intelligent Material Systems and Structures

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Experimental results are described in which a rod of magnetostrictive terfenol was used in the dual capacity of a passive structural support element and an active vibration control actuator and artificial neural networks were used for the adaptive real-time control algorithm. Tests were performed on a three-legged table, where the terfenol actuators mentioned above are the table legs. For the table experiment, shaker vibrations generated in the ground and transmitted to the tabletop (via the legs) were attenuated by counter vibrations synthesized in the table leg actuators. The goal of this experiment was to maintain a quiescent tabletop in the presence of floor vibrations.Utilizing a proportional-integral derivative and a neural network controller, actuated forces were used to cancel applied disturbance forces. The neural network architecture identifies (learns) and adapts to the tabletop forced disturbance through a fast adaptation law known as Adaptive BackPropagation, generating the required counter vibration. The architecture and hence the control was designed to be modular so cross talk (coupling in the control signal) is minimized. This puts an extra burden on the controller to decouple the spillovers but maintains modularity, an important feature for large scale implementations.This article describes work in this area and demonstrates the ability to cancel disturbances from static to the hundred hertz frequency range.

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Section: Introduction Imitations Of Passive Isolation Systems Have Madementioning

confidence: 98%

Section: Introduction Imitations Of Passive Isolation Systems Have Madementioning

confidence: 99%

Active Vibration Control in Structures Using Magnetostrictive Terfenol with Feedback and/or Neural Network Controllers

Bryant

Fernandez

Wang

et al. 1993

Journal of Intelligent Material Systems and Structures

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“…For these applications, magnetostrictive, and piezoelectric stack actuators and even magnetic levitation have been used to drive fast-tool servos [11,13,14]. The control objective of most of these fast servoing strategies is to add damping to the tool holder.…”

Section: Introductionmentioning

confidence: 99%

Improving surface roughness in turning using optimal control of tool's radial position

El-Sinawi¹,

Kashani²

2005

Journal of Materials Processing Technology

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“…If this behavior is neglected, degradation in control authority may result from unmodeled constitutive nonlinearities and potential instabilities from a phase lag between the input field and actuator displacement. It is often necessary to introduce the nonlinear and hysteretic material behavior into the control design via either inverse filters used to linearize the transducer response [7,12] or direct nonlinear compensation using nonlinear control designs [13,14,15,16]. Whereas the use of inverse filters can improve tracking performance by effectively compensating for nonlinear and irreversible material behavior, the interpretation of the transducer input is more difficult due to the inversion of the constitutive law.…”

Section: Sponsoring/monitoring Agency Name(s) and Address(es) 10 Spomentioning

confidence: 99%

Optimal Tracking Using Magnetostrictive Actuators Operating in Nonlinear and Hysteretic Regimes

Oates

Smith

2009

Journal of Dynamic Systems, Measurement, and Control

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Many active materials exhibit nonlinearities and hysteresis when driven at field levels necessary to meet stringent performance criteria in high performance applications. This often requires nonlinear control designs to effectively compensate for the nonlinear, hysteretic field-coupled material behavior. In this paper, an optimal control design is developed to accurately track a reference signal using magnetostrictive transducers. The methodology can be directly extended to transducers employing piezoelectric materials or shape memory alloys (SMAs) due to the unified nature of the constitutive model employed in the control design. The constitutive model is based on a framework that combines energy analysis at lattice length scales with stochastic homogenizations techniques to predict macroscopic material behavior. The constitutive model is incorporated into a finite element representation of the magnetostrictive transducer which provides the framework for developing the finite-dimensional nonlinear control design. The control design includes an open loop nonlinear component computed off-line with perturbation feedback around the optimal state trajectory. Estimation of unmeasurable states is achieved using a Kalman filter. The hybrid control technique provides the potential for real-time control implementation while providing robustness with regard to operating uncertainties and unmodeled dynamics.

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Attenuation and transformation of vibration through active control of magnetostrictive terfenol

Cited by 63 publications

References 10 publications

Active Vibration Control in Structures Using Magnetostrictive Terfenol with Feedback and/or Neural Network Controllers

Active Vibration Control in Structures Using Magnetostrictive Terfenol with Feedback and/or Neural Network Controllers

Improving surface roughness in turning using optimal control of tool's radial position

Optimal Tracking Using Magnetostrictive Actuators Operating in Nonlinear and Hysteretic Regimes

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