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A hybrid fuzzy logic proportional-integral-derivative and conventional on-off controller for morphing wing actuation using shape memory alloy Part 2: Controller implementation and validation

Published online by Cambridge University Press:  27 January 2016

T. L. Grigorie
Affiliation:
École de Technologie Supérieure, Montréal, Québec, Canada
R. M. Botez
Affiliation:
École de Technologie Supérieure, Montréal, Québec, Canada
A. V. Popov
Affiliation:
École de Technologie Supérieure, Montréal, Québec, Canada
M. Mamou
Affiliation:
National Research Council, Ottawa, Ontario, Canada
Y. Mébarki
Affiliation:
National Research Council, Ottawa, Ontario, Canada

Abstract

The paper presents the numerical and experimental validation of a hybrid actuation control concept – fuzzy logic proportional-integral-derivative (PID) plus conventional on-off – for a new morphing wing mechanism, using smart materials made of shape memory alloy (SMA) as actuators. After a presentation of the hybrid controller architecture that was adopted in the Part 1, this paper focuses on its implementation, simulation and validation.

The PID on-off controller was numerically and experimentally implemented using the Matlab/Simulink software. Following preliminary numerical simulations which were conducted to tune the controller, an experimental validation was performed. To implement the controller on the physical model, two programmable switching power supplies (AMREL SPS100-33) and a Quanser Q8 data acquisition card were used. The data acquisition inputs were two signals from linear variable differential transformer potentiometers, indicating the positions of the actuators, and six signals from thermocouples installed on the SMA wires. The acquisition board’s output channels were used to control power supplies in order to obtain the desired skin deflections. The experimental validation utilised an experimental bench test in laboratory conditions in the absence of aerodynamic forces, and a wind-tunnel test for different actuation commands. Simultaneously, the optimised aerofoils were experimentally validated with the theoretically-determined aerofoils obtained earlier. Both the transition point real time position detection and visualisation were realised in wind tunnel tests.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2012 

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References

1. Shellabarger, N. National Forecast Overview 2008-2025, 2008, Director Aviation Policy and Plans, Federal Aviation Administration.Google Scholar
2. Barrett, R. Improvements to commercial and general aviation via adaptive aerostructures, 2007, Paper AIAA-2007-7873, Seventh AIAA Aviation Technology, Integration and Operations Conference (ATIO), pp 19, 18-20 September, 2007.Google Scholar
3. Bye, D.R. and Mcclure, P.D. Design of a morphing vehicle, 2007, Paper AIAA-2007-1728, pp 321336.Google Scholar
4. Jacob, J.D. Aerodynamic flow control using shape adaptive surfaces, 1999, ASME Paper No. DETC99/VIB-8323, ASME 17th Biennial Conference on Mechanical Vibration and Noise, Symposium on Structronics, Mechatronics, and Smart Materials, September 1999, Las Vegas, NV.Google Scholar
5. Martins, A.L. and Catalano, F.M. Viscous drag optimization for a transport aircraft mission adaptive wing, 1998, ICAS-98-31499, Melbourne, Australia.Google Scholar
6. Munday, D., Jacob, J.D. and Huang, G. Active flow control of separation on a wing with oscillatory camber, 2002,, Paper AIAA-2002-0413, 40th AIAA Aerospace Sciences Meeting, Reno, NV.Google Scholar
7. Namgoong, H., Crossley, W. and Lyrintzis, A.S. Morphing airfoil design for minimum aerodynamic drag and actuation energy including aerodynamic work, 2006, AIAA Paper 2006-2041, pp 54075421.Google Scholar
8. Neal, D. A., Farmer, J. and Inman, D. Development of a morphing aircraft model for wind tunnel experimentation, 2006, Paper AIAA-2006-2141, pp 64436456.Google Scholar
9. Pinkerton, J.L. and Moses, R.W. A feasibility study to control airfoil shape using THUNDER, 1997, NASA Technical Memorandum 4767, Langley Research Center, Hampton, VA, USA.Google Scholar
10. Rodriguez, A.R., Morphing aircraft technology survey, 2007, Paper AIAA-2007-1258.Google Scholar
11. Sanders, B., Eastep, F. and Foster, E. Aerodynamic and aeroelastic characteristics of wings with conformal control surfaces for morphing aircraft, J Aircr, 2003, 40, (1), pp 9499.Google Scholar
12. Skillen, M.D. and Crossley, W.A., Developing response surface based wing weight equations for conceptual morphing aircraft sizing, 2005, Paper AIAA-2005-1960, pp 20072019.Google Scholar
13. Sobieczky, H. and Geissler, W. Active flow control based on transonic design concepts, 1999, DLR German Aerospace Research Establishment, AIAA Paper 99-3127.Google Scholar
14. Vos, R., De Breuker, R., Barrett, R. and Tiso, P. Morphing wing flight control via postbuckled precompressed piezoelectric actuators, J Aircr, 2007, 44, (4), pp 10601067.Google Scholar
15. Kirianaki, N.V., Yurish, S.Y., Shpak, N.O. and Deynega, V.P. Data Acquisition and Signal Processing for Smart Sensors, 2002, John Wiley & Sons.Google Scholar
16. Park, J. and Mackay, S. Practical data acquisition for instrumentation and control systems, 2003, Elsevier, UK.Google Scholar
17. Austerlitz, H. Data acquisition Techniques Using PCs, 2003, Elsevier, USA.Google Scholar
18. Mébarki, Y., Mamou, M. and Genest, M. Infrared measurements of transition location on the CRIAQ project morphing wing model, 2009, NRC LTR- AL-2009-0075.Google Scholar
19. Mamou, M., Mébarki, Y., Khalid, M., Genest, M., Coutu, D., Popov, A.V., Sainmont, C., Georges, T., Grigorie, L., Botez, R.M., Brailovski, V., Terriault, P., Paraschivoiu, I. and Laurendeau, E. Aerodynamic performance optimization of a wind tunnel morphing wing model Ssubject to various cruise flow conditions, 2010, 27th International Congress of the Aeronautical Sciences (ICAS), 19-24 September 2010, Nice, France.Google Scholar