Identification and compensation of Preisach hysteresis models for magnetostrictive actuators

Natale, Ciro; Velardi, Francesco; Visone, C.

doi:10.1016/s0921-4526(01)00997-8

Cited by 142 publications

(71 citation statements)

References 2 publications

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“…The existing models are mostly continuous-time models, 10,12,15 and the mathematical expressions are complicated, such as (1) and (2). One major shortcoming to the use of the continuous-time models is the difficulty of controller design due to the complicated form of the robotic model.…”

Section: Bouc-wen Modelmentioning

confidence: 99%

Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models

Zhang

Zhu

2017

International Journal of Advanced Robotic Systems

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Identification of robotic systems with hysteresis is the main focus of this article. Nonlinear AutoRegressive eXogenous input models are proposed to describe the systems with hysteresis, with no limitation on the nonlinear characteristics. The article introduces an efficient approach to select model terms. This selection process is achieved using an orthogonal forward regression based on the leave-one-out cross-validation. A sampling rate reduction procedure is proposed to be incorporated into the term selection process. Two simulation examples corresponding to two typical hysteresis phenomena and one experimental example are finally presented to illustrate the applicability and effectiveness of the proposed approach.

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Section: Bouc-wen Modelmentioning

confidence: 99%

Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models

Zhang

Zhu

2017

International Journal of Advanced Robotic Systems

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“…Hysteresis models can be roughly classified into physics-based models and phenomenological models. The most popular phenomenological hysteresis model used for smart materials has been the Preisach operator [1,10,15,7,8,19,13,5]. A similar type of operator, called Krasnosel'skii-Pokrovskii (KP) operator has also been used [2,6].…”

Section: Introductionmentioning

confidence: 99%

Control of hysteresis in smart actuators with application to micro-positioning

Tan

Baras

Krishnaprasad

2005

Systems & Control Letters

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Hysteresis in smart material actuators makes the effective use of these actuators quite challenging. The Preisach operator has been widely used to model smart material hysteresis. Motivated by positioning applications of smart actuators, this paper addresses the value inversion problem for a class of discretized Preisach operators, i.e., to find an optimal input trajectory given a desired output value. This problem is solved through optimal state transition of a finite state machine (FSM) that corresponds to the discretized Preisach operator. A state-space reduction scheme for the FSM is developed, which significantly saves the memory and the computation time. Experimental results on micro-positioning control of a magnetostrictive actuator are presented to demonstrate the effectiveness of the proposed approach.

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“…Examples include magnetic materials (C. Natale, 2001), piezoelectric and piezoceramic actuators (Mrad and Hu, 2001), shape memory alloys (SMA, e.g. NiTiNol, Flexinol) sensors-actuators (Hughes and Wen, 1997), mechanical hysteresis, adsorption hysteresis, optical hysteresis, electron beam hysteresis and others.…”

Section: Introductionmentioning

confidence: 99%

A Differential Hysteresis Model

Carnevale

Nicosia

Zaccarian

2005

IFAC Proceedings Volumes

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In this paper a new model of hysteresis is described. This new model allows to describe a wider class of rate independent hystereses than the previous Classic and nonlinear Preisach models. The broader area of applicability arises from the relaxation of the minor loops equal chord requirement by introducing a less stringent property SVEC(same-vertexes-equal-chords). The new model allows one to fit n-order transition curves, whereas the former models allow only for fitting of first and second-order transition curves. Due to this fact this new model improves upon existing results. The model structure has been developed to be easily implemented in inverse hysteresis control schemes, widely used for hysteretic systems regulation.

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Identification and compensation of Preisach hysteresis models for magnetostrictive actuators

Cited by 142 publications

References 2 publications

Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models

Identification of robotic systems with hysteresis using Nonlinear AutoRegressive eXogenous input models

Control of hysteresis in smart actuators with application to micro-positioning

A Differential Hysteresis Model

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