Asymmetric-hysteresis compensation in piezoelectric actuators

Aguirre, Gorka; Janssens, Thierry; Brussel, Hendrik Van; Al‐Bender, Farid

doi:10.1016/j.ymssp.2011.11.012

Cited by 43 publications

(19 citation statements)

References 20 publications

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“…However, the nature of the classic play operator limits the capability of the classic PI model to characterize only symmetric hysteresis loops of piezoelectric actuators [19]. On the other hand, asymmetric hysteresis loops have been observed on some actuators using hard piezoelectric materials and saturated hysteresis loops also exist on some shape memory alloys (SMA) and magnetostrictive actuators [31]. To characterize such asymmetric hysteresis or saturated hysteresis, the GPI hysteresis model is proposed by introducing envelope functions to the classic play operator.…”

Section: A Review On the Gpi Hysteresis Modelmentioning

confidence: 99%

Hysteresis compensation in piezoelectric actuator positioning control based on the uncertainty and disturbance estimator

Chen

Ren

Zhong

2015

2015 American Control Conference (ACC)

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Robust and precise control of piezoelectric actuators is quite challenging due to the existence of strong hysteresis nonlinearities. In this paper, a control strategy is proposed based on the uncertainty and disturbance estimator (UDE) to improve the performance of the positioning control of piezoelectric actuators. Compared to the existing hysteresis inversion based or other robust control strategies, the UDEbased controller can achieve excellent positioning precision without the knowledge of the bound and shape of hysteresis. Simulation results are presented to illustrate the effectiveness of the UDE-based controller, where the system dynamics of the piezoelectric actuator are characterized by a second order linear system preceded by a symmetric or an asymmetric generalized Prandtl-Ishlinskii (GPI) input hysteresis model. The extraordinary capability of the UDE-based controller is further demonstrated on other smart material-based actuators, e.g., magnetostrictive, shape memory alloys (SMA), where the hysteresis is characterized by a saturated GPI model.

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Section: A Review On the Gpi Hysteresis Modelmentioning

confidence: 99%

Hysteresis compensation in piezoelectric actuator positioning control based on the uncertainty and disturbance estimator

Chen

Ren

Zhong

2015

2015 American Control Conference (ACC)

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“…However, the major disadvantage of piezoelectric materials involves their inherent hysteresis nonlinearities, which could dramatically degrade system performances and may even cause instability [2]. The hysteresis behavior of piezoelectric actuators tends to be asymmetric in practical applications [3,4]. Various hysteresis models have been proposed to describe the characteristics of hysteresis, including the Preisach model, Krasnosel'skii-Pokrovkii model, Prandtl-Ishlinskii model, the Duhem model, Backlash-like model, Bouc-Wen model [5].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control for Pure-Feedback Nonlinear Systems Preceded by Asymmetric Hysteresis

2019

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An adaptive control scheme is proposed for a class of uncertain pure-feedback nonlinear systems preceded by asymmetric hysteresis nonlinearity. The asymmetric property is described by the modified Bouc-Wen model based on the proposed asymmetric factor. State variables in the controller design are directly replaced with nonaffine functions to address the control problem caused by nonaffine appearance. Moreover, the control method can handle systems with external disturbances and guarantee the global stability of all the signals in the closed-loop system. The feasibility of the control scheme is verified by a simulation example and experimental results.

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“…Due to the added complexity associated with modeling hysteresis and backlash in PZT actuators, several researchers [8][9][10] used different optimization techniques to model these nonlinear effects. Recently, a compensation strategy for the asymmetric hysteresis that used two models, connected in series, for symmetric and asymmetric hysteresis, was proposed [11]. The work in [12] introduced a simple fuzzy system to model hysteresis in PZT actuators using the inverse of the model, which can be analytically computed.…”

Section: Introductionmentioning

confidence: 99%

Parameters Identification for a Composite Piezoelectric Actuator Dynamics

Saadeh

Trabia

2015

Actuators

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This work presents an approach for identifying the model of a composite piezoelectric (PZT) bimorph actuator dynamics, with the objective of creating a robust model that can be used under various operating conditions. This actuator exhibits nonlinear behavior that can be described using backlash and hysteresis. A linear dynamic model with a damping matrix that incorporates the Bouc-Wen hysteresis model and the backlash operators is developed. This work proposes identifying the actuator's model parameters using the hybrid master-slave genetic algorithm neural network (HGANN). In this algorithm, the neural network exploits the ability of the genetic algorithm to search globally to optimize its structure, weights, biases and transfer functions to perform time series analysis efficiently. A total of nine datasets (cases) representing three different voltage amplitudes excited at three different frequencies are used to train and validate the model. Four cases are considered for training the NN architecture, connection weights, bias weights and learning rules. The remaining five cases are used to validate the model, which produced results that closely match the experimental ones. The analysis shows that damping parameters are inversely proportional to the excitation frequency. This indicates that the suggested hysteresis model is too general for the PZT model in this work. It also suggests that backlash appears only when dynamic forces become dominant.

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Asymmetric-hysteresis compensation in piezoelectric actuators

Cited by 43 publications

References 20 publications

Hysteresis compensation in piezoelectric actuator positioning control based on the uncertainty and disturbance estimator

Hysteresis compensation in piezoelectric actuator positioning control based on the uncertainty and disturbance estimator

Adaptive Control for Pure-Feedback Nonlinear Systems Preceded by Asymmetric Hysteresis

Parameters Identification for a Composite Piezoelectric Actuator Dynamics

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