Shape Control of a FRP Airfoil Structure Using SMA-Actuators and Optical Fiber Sensors

Ruotsalainen, Pasi; Kroneld, Petter; Nevala, Kalervo; Brander, Timo; Lindroos, Tomi; Sippola, Merja

doi:10.4028/3-908451-60-4.196

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the last decade research related to SMA has focused on shape control and vibration control applications. In many shape control applications actuators have been integrated directly in the composite structure [2,3,4]. The target of the shape control research is to develop an adaptive structure that independently observes the environment and reacts properly to changes in operating conditions [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Transformation hysteresis and low operation frequency of SMA significantly affect the precision of the control [1,2,3,5,6]. Temperature tolerance of the composite is relatively low and heating power has to be limited [4]. The controller must also be able to compensate for the external heat and force disturbances which significantly affect the phase transformation of SMA [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-Based Control of SMA Actuators with a Recurrent Neural Network in the Shape Control of an Airfoil

Ahola

Makkonen

Nevala

et al. 2009

SSP

View full text Add to dashboard Cite

This paper describes the development of a neural network control for shape memory alloy (SMA) actuators as well as the control tests. Precise control of SMA actuators that are integrated in the composite structure is difficult because of the hysteretic behaviour of SMA and time delays in the control system. The weakness of the static model of SMA is that it does not take into account the actuator dynamics. The NARMA-L2 neural network model enables us to solve the inverse dynamic model of the nonlinear discrete-time dynamical system. In this study the NARMA-L2 model of the airfoil (a cross section of wind turbine blade) was created using Matlab Simulink software and neural networks. Data for network training was measured from the specimen. The performance of the constituted NARMA-L2 controller was tested in control tests. According to the control tests the NARMA-L2 controller is well suited for controlling embedded SMA actuators. The constituted controller enabled fast and stable actuation in step responses and it was also able to compensate for changes in cooling conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model-Based Control of SMA Actuators with a Recurrent Neural Network in the Shape Control of an Airfoil

Ahola

Makkonen

Nevala

et al. 2009

SSP

View full text Add to dashboard Cite

show abstract

“…Many researches are made around the world in the new challenge field related to the morphing aircraft, with the purpose to improve operational efficiency, particularly by reducing fuel consumption (Chang, 2009, Smith, 2007, Hinshaw, 2009, Gonzalez, 2005, Namgoong, 2006, Majji, 2007, and Ruotsalainen, 2009). Therefore, a lot of architecture were and are still imagined, designed, studied and developed, for this new concept application.…”

Section: Introductionmentioning

confidence: 99%

A MORPHING WING USED SHAPE MEMORY ALLOY ACTUATORS NEW CONTROL TECHNIQUE WITH BI-POSITIONAL AND PI LAWS OPTIMUM COMBINATION - Part 1: Design Phase

Grigorie

Попов

Botez

et al. 2010

Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics

View full text Add to dashboard Cite

Vous avez des questions? Nous pouvons vous aider. Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées. Si vous n'arrivez pas à les repérer, communiquez avec nous à PublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. Questions? Contact the NRC Publications Archive team atPublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. If you wish to email the authors directly, please see the first page of the publication for their contact information. NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. NRC Publications Record / Notice d'Archives des publications de CNRC:http://nparc.cisti-icist.nrc-cnrc.gc.ca/eng/view/object/?id=cdeddfaf-a22e-460b-86da-573c49656fc8 http://nparc.cisti-icist.nrc-cnrc.gc.ca/fra/voir/objet/?id=cdeddfaf-a22e-460b-86da-573c49656fc8 A MORPHING WING USED SHAPE MEMORY ALLOY ACTUATORS NEW CONTROL TECHNIQUE WITH BI-POSITIONAL AND PI LAWS OPTIMUM COMBINATION Part 1: design phaseTeodor Lucian Grigorie, Andrei Vladimir Popov, Ruxandra Mihaela Botez École de Technologie Supérieure, Montréal, Québec H3C 1K3, Canada lgrigore@elth.ucv.ro, ruxandra.botez@etsmtl.ca Mahmoud Mamou, Youssef Mébarki National Research Council, Ottawa, Ontario K1A 0R6, Keywords: morphing wing, shape memory alloy actuators, bi-positional and PI control design, numerical simulations Abstract:The paper presents the design phase of the actuators control system development for a morphing wing application. Some smart materials, like Shape Memory Alloy (SMA), are used as actuators to modify the upper surface of the wing made of a flexible skin. The actuations lines control is designed and validated using a numerical simulation model developed in Matlab/Simulink. The finally adopted control law is a combination of a bi-positional law and a PI law; the control must behave like a switch between cooling phase and heating phase, situations where the output current is 0 A, or is controlled by a law of PI type. The PI controller, for the heating phase, is optimally tuned using the Ziegler-Nichols criterion and the linear model obtained using the System Identification Toolbox of Matlab. The controlled linearized system for heating phase is numerically tested in terms of time response, stability, controllability and the observability. In the actuation control design final phase, numerical simulations, based on SMA non-linear analytical model, were used for validation.

show abstract

Shape Control of a FRP Airfoil Structure Using SMA-Actuators and Optical Fiber Sensors

Cited by 2 publications

References 0 publications

Model-Based Control of SMA Actuators with a Recurrent Neural Network in the Shape Control of an Airfoil

Model-Based Control of SMA Actuators with a Recurrent Neural Network in the Shape Control of an Airfoil

A MORPHING WING USED SHAPE MEMORY ALLOY ACTUATORS NEW CONTROL TECHNIQUE WITH BI-POSITIONAL AND PI LAWS OPTIMUM COMBINATION - Part 1: Design Phase

Contact Info

Product

Resources

About