Model-Free Control of Shape Memory Alloys Antagonistic Actuators

Gédouin, Pierre-Antoine; Join, Cédric; Delaleau, Emmanuel; Bourgeot, Jean-Matthieu; Chirani, Shabnam Arbab; Calloch, Sylvain

doi:10.3182/20080706-5-kr-1001.00752

Cited by 17 publications

(17 citation statements)

References 18 publications

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“…The present work constitutes an extension of a previous paper [25], in which only simulations have already highlighted the advantages of the proposed method in the area of SMA actuators.…”

Section: Introductionmentioning

confidence: 86%

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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“…The present work constitutes an extension of a previous paper [25], in which only simulations have already highlighted the advantages of the proposed method in the area of SMA actuators.…”

Section: Introductionmentioning

confidence: 86%

A new control strategy for shape memory alloys actuators

Gédouin

Join

Delaleau

et al. 2009

ESOMAT 2009 - 8th European Symposium on Martensitic Transformations

Self Cite

View full text Add to dashboard Cite

show abstract

“…They are used to design compact actuators but their dynamics and therefore their associated control problem remains complex. In [9], [10], model-free control is successfully used to control a SMA S. Andary and A. Chemori are with LIRMM, Univ. Montpellier 2 -CNRS, 161 rue Ada, 34392 Montpellier, France {andary, chemori}@lirmm.fr based actuator.…”

Section: Introductionmentioning

confidence: 99%

A dual model-free control of non-minimum phase systems for generation of stable limit cycles

Andary

Chemori

2011

IEEE Conference on Decision and Control and European Control Conference

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This paper presents a method allowing recent model-free control technique to deal with nonminimum phase systems for stable limit cycles generation. A first controller is designed in order to track parametrized reference trajectories on a subset of the coordinates. In order to stabilize the closed loop system, a second controller is designed using one parameter of reference trajectories as input. The overall system is therefore able to track the desired trajectories while stabilizing the internal dynamics of the system. The proposed method is illustrated through two examples of non-minimum phase systems. Numerical simulations are presented showing the effectiveness of the proposed method as well as its robustness toward external disturbances.

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“…But the potential limitation is that their performances are strongly dependant on the availability of an accurate model. The physical model structure definition, unknown parameters identification, experimental data collection and the model validation for plants are always difficult [4]. A mathematical model can only approximate the real system behaviour [5].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, a numerical differential algebraic method has been proposed using a phenomenological model to approximate the real system in a short amount of time. This model is updated step by step and the desired system behaviour is obtained by an elementary PID controller [4], [8]- [9]. Besides, an experimental method called "active disturbance rejection control" and based on a nonlinear combination of PID errors and an extended state observer was proposed and developed in [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Recursive Model Free Controller for trajectory tracking of MIMO nonlinear systems

Wang¹,

Vasseur²,

Končar³

et al. 2010

18th Mediterranean Conference on Control and Automation, MED'10

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This paper deals with a new Recursive Model Free Controller for trajectory tracking of MIMO nonlinear systems whose structure is simple and dose not depend on any physical model. The proposed controller is based on the theory of a particular class of hybrid systems, called Piecewise Continuous Systems, which are characterized by autonomous switchings and controlled impulses. The effectiveness and robustness of the proposed controller is experimented on a three tank system. 978-1-4244-8092-0/10/$26.00 ©2010 IEEE

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Model-Free Control of Shape Memory Alloys Antagonistic Actuators

Cited by 17 publications

References 18 publications

A new control strategy for shape memory alloys actuators

A new control strategy for shape memory alloys actuators

A dual model-free control of non-minimum phase systems for generation of stable limit cycles

Recursive Model Free Controller for trajectory tracking of MIMO nonlinear systems

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