Modeling and Control of a Shape Memory Alloy Actuator

Dutta, Sushant M.; Ghorbel, Fathi H.; Dabney, James B.

doi:10.1109/.2005.1467151

Cited by 25 publications

(20 citation statements)

References 18 publications

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“…Consequently, how to choose suitable slope functions is key for successful modeling using the Duhem model. The literature [1] proposes the use of Gaussian probability density functions (PDFs) as slope functions for the Duhem model, which is given by…”

Section: Classical Duhem Modelmentioning

confidence: 99%

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Modeling of Dynamic Hysteresis Based on Takagi-Sugeno Fuzzy Duhem Model

Lee¹,

Park²,

Baek³

2013

International Journal of Fuzzy Logic and Intelligent Systems

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In this study, we propose a novel method for modeling dynamic hysteresis. Hysteresis is a widespread phenomenon that is observed in many physical systems. Many different models have been developed for representing a hysteretic system. Among them, the Duhem model is a classical nonlinear dynamic hysteresis model satisfying the properties of hysteresis. The purpose of this work is to develop a novel method that expresses the local dynamics of the Duhem model by a linear system model. Our approach utilizes a certain type of fuzzy system that is based on Takagi-Sugeno (T-S) fuzzy models. The proposed T-S fuzzy Duhem model is achieved by fuzzy blending of the linear system model. A simulated example applied to shape memory alloy actuators, which have typical hysteretic properties, illustrates the applicability of our proposed scheme.

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Section: Classical Duhem Modelmentioning

confidence: 99%

“…For instance, hysteresis displayed by shape memory alloy (SMA) during the process of a phase transition is an example of hysteresis in a mechanical system [1]. There is no precise agreement in the literature regarding the definition of hysteresis.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Dynamic Hysteresis Based on Takagi-Sugeno Fuzzy Duhem Model

Lee¹,

Park²,

Baek³

2013

International Journal of Fuzzy Logic and Intelligent Systems

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“…There are many factors that affect the dynamic performance of SMA wire actuator, such as the geometric size, the phase transition temperature (Mf, Ms, As Af) [1], the electric heating method, the mechanical load and the ambient temperature [5] and so on. In the field of engineering applications, these factors make the SMA actuator mechanism modeling [2,6,7] process complicated.…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Modeling of a Shape Memory Alloy

Liu¹,

Dong²,

Deng³

2017

Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

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Abstract. This contribution providing a new test platform using FAUHABER linear motor and dSPACE is proposed based on the engineering application of shape memory alloy wire actuator. In this platform, a sinusoidal signal is input to the shape memory alloy wire to acquire the parameters. The dynamic model is identified by the system input-output and the MATLAB system identification toolbox. Compared with the mathematical model, the identified model made the description of shape memory alloy wire simple and effective, which lays the foundation for practical application.

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“…A feedforward path is added in [11]; the feedforward command is obtain by using a Preisach model for the hysteretic effect. In [12] feedforward scheme is also used but the hysteretic behaviour is described by a Duhem differential hysteresis model. In [13,14] a feedforward loop is combined with sliding mode control to obtain robustness, the feedforward path is respectively given by neural network and by a physical model.…”

Section: Introductionmentioning

confidence: 99%

A new control strategy for shape memory alloys actuators

Gédouin

Join

Delaleau

et al. 2009

ESOMAT 2009 - 8th European Symposium on Martensitic Transformations

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Abstract. Shape memory alloys (SMA) are more and more integrated in engineering applications. These materials with their shape memory effect permit to simplify mechanism and to reduce the size of actuators. SMA parts can easily be activated by Joule effect but their modelling and consequently their control remains difficult, it is principally due to their hysteretic thermomechanical behaviour. Another difficulty is that the characteristics of the material are timevarying, especially during cyclic loadings. So, most of successful control strategy applied to SMA actuator are particularly heavy and used the Preisach model or neural networks to model the hysteretic behaviour of these material but this kind of models are difficult to identify and to use in real time. That is why this study deals with an application of the new framework of model-free control and restricted model control applied to a SMA spring based actuator. This control strategy is based on new results on fast derivative s estimation of noisy signals, its main advantages are: its simplicity, its robustness and the fact that it is easy to compute. Experimental results and comparisons with PID control are exposed that demonstrate the efficiency of this new control strategy despite thermal perturbations.

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Modeling and Control of a Shape Memory Alloy Actuator

Cited by 25 publications

References 18 publications

Modeling of Dynamic Hysteresis Based on Takagi-Sugeno Fuzzy Duhem Model

Modeling of Dynamic Hysteresis Based on Takagi-Sugeno Fuzzy Duhem Model

The Dynamic Modeling of a Shape Memory Alloy

A new control strategy for shape memory alloys actuators

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