Modeling of Hysteresis and Backlash for a Smart Fin with a Piezoelectric Actuator

Trabia, Mohamed B.; Yim, Woosoon; Saadeh, Mohammad

doi:10.1177/1045389x11414223

Cited by 8 publications

(7 citation statements)

References 40 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The nonlinearity caused by hysteresis yielded to inaccurate positioning behavior; hence, it is a major disadvantage of the system. There are many approaches by numerical methods and experimental tools developed to describe the hysteresis nonlinearity phenomena within PEAs [15,22,[24][25][26][27][28][29][30][31]. In their review, Aridogan and Basdogan [32] and Zuo and Wong [33] focused on the active vibration and noise control systems utilizing piezoelectric patches as sensors and actuators, while Peng and Chen [34] reviewed the various methods for modeling linear and nonlinear behaviors of PEAs.…”

Section: Modelingmentioning

confidence: 99%

Enhancement of hard disk drive manipulator using piezoelectric actuator mechanisms

Khasawneh

Jaradat

Naji

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

This paper discusses the employment of piezoelectric actuators (PEA) to encompass high precision-scale movement capability of magnetic hard disk drive servo systems. To overcome path/positioning limitations of previous hard disk servo systems, a new design consisting of three PEAs links is proposed. Two different controllers, namely PI and fuzzy, are designed and simulated to assess the performance of the proposed design over a couple of paths under the presence of noise and disturbance. Simulation results show that the proposed design is able to track complex paths over a wider spectrum of motion than conventional hard drive servo systems. This improves the read-write process by affording nanoscale motion and provides high levels of positioning accuracy, as well as wide spectrum of positioning capability. Moreover, both controllers reveal the ability to drive the mechanism with quick response and minimal overshoot, with the fuzzy controller outperforming the PI controller under the presence of noise and disturbance.

show abstract

Section: Modelingmentioning

confidence: 99%

Enhancement of hard disk drive manipulator using piezoelectric actuator mechanisms

Khasawneh

Jaradat

Naji

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…They attributed the reason to not considering the hysteresis compensation of MFCs in the control system design. Trabia et al [8] studied the small morphing wing deflected by the MFC bimorph, and found that the controller based on the actuator linear model can meet the requirements for tracking constant or slowly changing displacement commands; however, the hysteresis nonlinearity of the actuator must be considered in the controller design for the rapidly changing displacement commands. Thus, the hysteresis of MFC actuators can seriously affect the accuracy of the flight control system of MAVs.…”

Section: Introductionmentioning

confidence: 99%

Rate-Dependent Hysteresis Modeling and Displacement Tracking Control Based on Least-Squares SVM for Axially Pre-Compressed Macro-Fiber Composite Bimorph

et al. 2022

Materials

View full text Add to dashboard Cite

The new axially pre-compressed macro-fiber composite bimorph (MFC-PBP) can produce large displacement and output power. However, it has the property of strong rate-dependent hysteresis nonlinearity, which challenges the displacement tracking control of morphing structures. In this paper, the least-squares support vector machine (LS-SVM) is applied to model the rate-dependent hysteresis of MFC-PBP. Compared with the predicated results of the series model of the Bouc–Wen model and Hammerstein model (BW-H), the LS-SVM model achieved higher predication accuracy and better generalization ability. Based on the LS-SVM hysteresis compensation model, with the support vector pruning, the displacement tracking feedforward compensator is obtained. In order to improve the displacement tracking accuracy, the LS-SVM feedforward compensator combined with the proportional and integral (PI) controller and the feedforward plus feedback control experiment is carried out on the displacement tracking of MFC-PBP. The test results show that the feedforward plus feedback displacement tracking control loop based on the LS-SVM model also has a higher displacement tracking accuracy than that based on the inverse model of BW-H.

show abstract

“…Their experimental results indicated that the response of the actuator experienced saturation and asymmetry, which were the results of hysteresis and backlash. 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].…”

Section: Introductionmentioning

confidence: 99%

Parameters Identification for a Composite Piezoelectric Actuator Dynamics

Saadeh

Trabia

2015

Actuators

View full text Add to dashboard Cite

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.

show abstract

Modeling of Hysteresis and Backlash for a Smart Fin with a Piezoelectric Actuator

Cited by 8 publications

References 40 publications

Enhancement of hard disk drive manipulator using piezoelectric actuator mechanisms

Enhancement of hard disk drive manipulator using piezoelectric actuator mechanisms

Rate-Dependent Hysteresis Modeling and Displacement Tracking Control Based on Least-Squares SVM for Axially Pre-Compressed Macro-Fiber Composite Bimorph

Parameters Identification for a Composite Piezoelectric Actuator Dynamics

Contact Info

Product

Resources

About