| Download | - View accepted manuscript: A morphing wing used shape memory alloy actuators new control technique with bi-positional and PI laws optimum combination: part 1, design phase (PDF, 666 KB)
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| Author | Search for: Grigorie, Teodor lucian; Search for: Popov, Andrei Vladimir; Search for: Botez, Ruxandra Mihaela; Search for: Mamou, Mahmoud1; Search for: Mebarki, Youssef1 |
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| Name affiliation | - National Research Council of Canada. NRC Institute for Aerospace Research
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| Format | Text, Article |
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| Proceedings title | Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, Funchal, Madeira, Portugal, June 15-18, 2010 |
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| Conference | ICINCO 2010, the 7th International Conference on Informatics in Control, Automation and Robotics, June 15-18, 2010, Funchal, Madeira, Portugal |
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| Volume | 1 |
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| Issue | Inteligent control systems and optimization |
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| Subject | morphing wing; shape memory alloy actuators; bi-positional and PI control design; numerical simulations |
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| 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. |
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| Publication date | 2010 |
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| Publisher | SciTePress, Science and Technology Publications |
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| Language | English |
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| Peer reviewed | Yes |
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| Identifier | 9789898425003 |
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| NPARC number | 23001283 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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Record identifier | cdeddfaf-a22e-460b-86da-573c49656fc8 | | Record created | 2017-01-13 |
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| Record modified | 2020-06-04 |
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