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Bintang Yang

Bio: Bintang Yang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Actuator & Vibration. The author has an hindex of 13, co-authored 71 publications receiving 499 citations. Previous affiliations of Bintang Yang include Northwestern Polytechnical University.


Papers
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Journal ArticleDOI
TL;DR: In this article, a total Lagrangian formulation is adopted to describe the geometrically nonlinear behavior of hyperelastic bodies under contact/impact conditions, and a first order algorithm is applied to integrate the equations of motion.

75 citations

Journal ArticleDOI
TL;DR: In this paper, a nonlinear constitutive model of a giant magnetostrictive actuator is put forward for the application of effectively suppressing vibration, which is established not only by combining linear constitutive equations with the Bouc-Wen equations but also by using Hamilton's principle and the assumed mode method to analyze the hysteresis phenomena and quadric frequency property.
Abstract: Giant magnetostrictive actuators (GMA) used in vibration control and high precision positioning control have been studied widely in last decade. Recently, although many researchers commit themselves to modeling giant magnetostrictive actuators, there is still lack of simplified model of analyzing nonlinear properties to deal with the problems on active vibration control with giant magnetostrictive actuators. In this paper, a nonlinear constitutive model of a giant magnetostrictive actuator is put forward for the application of effectively suppressing vibration. The nonlinear constitutive model is established not only by combining linear constitutive equations with the Bouc–Wen equations but also by using Hamilton's principle and the assumed mode method to analyze the hysteresis phenomena and quadric frequency property in the giant magnetostrictive actuator. In addition, a minimum variance self-turning regulator (MVSTR) is incorporated into the design of a controller, which may be used in suppressing low frequency (≤5 Hz) and micron-level (≤5 μm) disturbances. In the end of this paper, some simulations are performed in LABVIEW and experimental control tests are implemented using a giant magnetostrictive actuator prototype. Both the numerical simulations and experimental tests results show that the amplitudes of disturbances may be reduced up to no less than 90% averagely in the whole sampling processes. This proves that the giant magnetostrictive actuator has not only the capacity of controlling low-frequency and micro-level vibration but also the notable effectiveness of active control by the adaptive regulator. Moreover, the minimum variance self-tuning regulator is testified as a feasible controller for vibration control in the paper.

40 citations

Journal ArticleDOI
TL;DR: In this article, a new methodology for designing an amplifier which could handle micro-vibration isolation and long service life of piezoelectric actuators is proposed and discussed.
Abstract: Flexure-hinged displacement amplifiers play an important part in ultra-precision engineering due to their advantages of no friction, no backlash, compactness, high resolution and so on In fact, the flexure-hinged displacement amplifier is initially proposed for addressing the travel shortcoming of piezoelectric or magnetostrictive actuators However, some new challenges such as micro-vibration isolation and long service life, etc, arouse attentions especially when working in the harsh environment Therefore, a new methodology for designing amplifier which could handle such issues is proposed and discussed in this paper The focus of this study is on the design, theory analysis, and optimization of amplifiers, not only with the purpose of providing a larger displacement output, but also achieving micro-vibration isolation in desired frequency band First, a generalized model for flexure hinges, the largest principal tensile stress and fatigue safety factor are formulated mathematically under combined tension and bending loads Then the applied loads acting on each flexure hinge is calculated according to pseudo-rigid-body model The equivalent dynamic model is established by Lagrange method Whereafter, the procedure of the methodology is summarized and a different optimization strategy is implemented Finally, a prototype is fabricated and tested The experiments and simulation results confirm that the amplifier can achieve the desired amplification ratio and passive vibration isolation, which validate the effectiveness of this methodology

39 citations

Journal ArticleDOI
TL;DR: In this paper, an improved adaptive filtered-x normalized least-mean-square (FxNLMS) algorithm was proposed to achieve active microvibration isolation, which utilizes the polynomial operators to describe hysteresis asymmetry and nonlinearity.

36 citations

Journal ArticleDOI
TL;DR: A new payload-platform is presented, for precision devices, which possesses the capability of isolating the complex space micro-vibration in low frequency range below 5 Hz through the combination of the controlled auto regressive moving average (CARMA) model with modified generalized prediction control (MGPC) algorithm.

34 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors used the digital image correlation (DIC) technique to have strain measurements for biaxial and planar specimens to input stress-strain data in Abaqus®.
Abstract: The aim of research work is to characterize hyperelastic material and to determine a suitable strain energy function (SEF) for an indigenously developed rubber to be used in flexible joint use for thrust vectoring of solid rocket motor. In order to evaluate appropriate SEF uniaxial and volumetric tests along with equi-biaxial and planar shear tests were conducted. Digital image correlation (DIC) technique was utilized to have strain measurements for biaxial and planar specimens to input stress-strain data in Abaqus®. Yeoh model seems to be right choice, among the available material models, because of its ability to match experimental stress-strain data at small and large strain values. Quadlap specimen test was performed to validate material model fitted from test data. FE simulations were carried out to verify the behavior as predicted by Yeoh model and results are found to be in good agreement with the experimental data.

200 citations

Journal ArticleDOI
TL;DR: A comprehensive investigation into researches on soft materials for robotic applications, including the polymer-matrix composites, available fillers and their advantages, processing methods and nanoparticulated polymer matrix and its significance in robotic application are presented.
Abstract: In recent years, exploratory research on soft materials and their mechanism has been gaining in popularity. The investigations on soft materials are mostly done for two reasons: (a) to develop an anthropomorphic/prosthetic hand or soft hand with human skin-like material to perform soft manipulations and (b) to develop soft actuators. This paper presented a comprehensive investigation into researches on soft materials for robotic applications. The primary interest of using soft materials is not to leave any marks or damage to objects during the manipulation. The other advantage would be stable grasping due to an area contact. Natural rubber, synthetic rubber, elastomer, polymer composite and nanoparticulated polymer composite are some existing soft materials. Extensive research is required to prepare a high-strength but lighter soft material for robotic soft manipulation. Human skin and its mechanical properties are initially discussed. In addition, the need of soft material for soft manipulations and observations from previous researches over the past few decades, modelling of non-linear hyperelastic/viscoelastic materials and characterization are discussed. Finally, various soft materials including the polymer-matrix composites, available fillers and their advantages, processing methods and nanoparticulated polymer matrix and its significance in robotic application are presented.

122 citations

Journal ArticleDOI
TL;DR: This paper surveys and compares the conceptual ideas, key advances, and applicable scopes, and open problems of the state-of-the-art kinetostatic and dynamic modeling methods for compliant mechanisms in terms of small and large deflections.
Abstract: Flexure-based compliant mechanisms are becoming increasingly promising in precision engineering, robotics, and other applications due to the excellent advantages of no friction, no backlash, no wear, and minimal requirement of assembly. Because compliant mechanisms have inherent coupling of kinematic-mechanical behaviors with large deflections and/or complex serial-parallel configurations, the kinetostatic and dynamic analyses are challenging in comparison to their rigid-body counterparts. To address these challenges, a variety of techniques have been reported in a growing stream of publications. This paper surveys and compares the conceptual ideas, key advances, and applicable scopes, and open problems of the state-of-the-art kinetostatic and dynamic modeling methods for compliant mechanisms in terms of small and large deflections. Future challenges are discussed and new opportunities for extended study are highlighted as well. The presented review provides a guide on how to select suitable modeling approaches for those engaged in the field of compliant mechanisms.

114 citations

Journal ArticleDOI
TL;DR: An inverse compensation approach for Preisach model using the inverse multiplicative structure is developed and results for a magnetostrictive actuator demonstrate the effectiveness of the proposed approach.
Abstract: Compensation of hysteresis nonlinearities in smart material based actuators presents a challenging task for their applications. Many approaches have been proposed in the literature, including the inverse multiplicative scheme. The advantage for such a scheme is to avoid direct model inversions. However, the approach is mainly developed for the Bouc-Wen model. Focusing on the Preisach model which is utilized to describe magnetostrictive actuators, in this paper an inverse compensation approach for Preisach model using the inverse multiplicative structure is developed. Since the input signal is implicitly involved in the Preisach model, it imposes a great challenge to construct the inverse function of the model. To obtain an explicit expression of the input signal from its implicit form so that the inverse multiplicative technique can be applied, the Preisach model is decomposed into a non-memory part and memory part. Using this separation, it only requires to solve the inverse of the non-memory part to obtain an explicit expression of the input signal, thus avoiding constructing the inverse for entire complex dual integral formulation of the Preisach model. Experimental results for a magnetostrictive actuator demonstrate the effectiveness of the proposed approach.

103 citations

Journal ArticleDOI
TL;DR: This work aims to provide a broad overview of computational techniques belonging to the area of artificial intelligence tailored for identification of nonlinear dynamical systems, including genetic algorithm, particle swarm optimization, and differential evolution.
Abstract: This work aims to provide a broad overview of computational techniques belonging to the area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both parametric and nonparametric identification problems are considered. The examined computational intelligence techniques for parametric identification deal with genetic algorithm, particle swarm optimization, and differential evolution. Special attention is paid to the parameters estimation for a rich class of nonlinear dynamical models, including the Bouc–Wen model, chaotic systems, the Jiles–Atherton model, the LuGre model, the Prandtl–Ishlinskii model, the Preisach model, and the Wiener–Hammerstein model. On the other hand, genetic programming and artificial neural networks are discussed for nonparametric identification applications. Once the identification problem is formulated, a detailed illustration of the considered computational intelligence techniques is provided, together with a comprehensive examination of relevant applications in the fields of structural mechanics and engineering. Possible directions for future research are also addressed.

82 citations