Abstract
This paper presents an unusual feedforward controller structure that allows to take allocation constraints into account which can be expressed in the time-frequency or time-scale domains. This novel controller structure was motivated by the design of a feedforward controller for airplane gust and turbulence load alleviation based on Doppler LIDAR measurements. As shown by the application that has motivated this development, some strongly nonlinear constraints can be guaranteed by the design of the structure. The developed structure is not restricted to the considered application and could be applied successfully to many other feedforward control problems with some prior knowledge of the upcoming disturbances or references.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that indirectly, after having exploited the structure proposed hereafter, the advanced tools provided by the linear control theory could actually be applied to each of the resulting subproblems.
- 2.
The low amplitudes are removed here because it is expected that they essentially resulted from the sensor noise via the wind reconstruction algorithm: considering them and taking actions based on them is likely to not provide any load improvement. It would even generate load cycles in the structure while flying through calm air.
References
Atto AM, Pastor D, Mercier G (2008) Smooth sigmoid wavelet shrinkage for non-parametric estimation. In: Proceedings of the 2008 IEEE international conference on acoustics, speech, and signal processing (ICASSP)
Atto AM, Pastor D, Mercier G (2008) Wavelet shrinkage: unification of basic thresholding functions and thresholds. Signal Image Video Process (SIViP) 5(1):11–28. https://doi.org/10.1007/s11760-009-0139-y
Böhret H, Krag B, Skudridakis J (1985) OLGA an open-loop gust alleviation system. In: Proceedings of the AGARD CP 384 meeting, Toronto, Canada
Deiler C (2014) Data parser approaches for (online) parameter estimation. CEAS Aeronaut J 5(3):345–357
Fezans N, Joos H-D (2017) Combined feedback and lidar-based feedforward active load alleviation. In: 2017 AIAA atmospheric flight mechanics conference (submitted)
Fezans N, Schwithal J, Fischenberg D (2015) In-flight remote sensing and characterization of gust, turbulence, and wake vortices. In: Proceedings of the 2015 German aerospace congress (Deutscher Luft- und Raumfahrtkongress), Germany
Hahn K-U, Hecker S (2004) Gust load alleviation system. Technical report, DLR, Braunschweig, Germany. AWIATOR, Technical report, DLR-TR-3.1.1-12
Hahn K-U, König R (1992) Attas flight test and simulation results of the advanced gust management system LARS. In: Proceddings of the AIAA atmospheric flight mechanics conference, SC, USA
Hargrove WJ (1976) The C-5A active lift distribution control system. NASA, Technical report, pp N76–31148
Hecker S (2005) Gust load alleviation system using adaptive elements. Technical report, DLR, Oberpfaffenhofen, Germany. AWIATOR, Technical report, DLR-TR-3.1.1-13
Hecker S, Hahn K-U (2003) Gust computation system. Technical report, DLR, Oberpfaffenhofen, Germany. AWIATOR, Technical report, DLR-TR-3.1.1-11
Hecker S, Hahn K-U (2006) Gust load alleviation system using turbulence sensor and adaptive elements. Technical report, DLR, Oberpfaffenhofen, Germany. AWIATOR, Technical report, DLR-TR-3.1.1-14
Hoffmann G (1976) Stabilisierung. Böenkompensation und Schwingungsdämpfung am elastischen beweglichen Flugzeugmodell im Windkanal. Technical report, DFVLR (now part of DLR), Cologne, Germany
Joos H-D (1997) Multi-objective parameter synthesis (MOPS). In: Magni JF, Benani S, Terlouw J (eds) Robust flight control: a design challenge. Lecture notes in control and information sciences. Springer, Berlin, pp 199–217
Joos H-D (1999) A methodology for multi-objective design assessment and flight control synthesis tuning. Aerosp Sci Technol 3(3):161–176 April
Joos H-D (2011) Worst case parameter search based clearance using parallel nonlinear programming methods. In: Varga A, Hansson A, Puyou G (eds) Optimization based clearance of flight control laws. Lecture notes in control and information science. Springer, Berlin
Joos H-D, Bals J, Looye G, Schnepper K, Varga A (2002) A multi-objective optimisation based software environment for control systems design. In: Proceedings of the 2002 IEEE international conference on control applications and international symposium on computer aided control systems design (CCA/CACSD), Glasgow, Scotland
König R, Hahn K-U (1990) Load alleviation and ride smoothing investigations using attas. In: Proceedings of the \(17^{th}\) Congress of the International Council of the Aeronautical Sciences, Stockholm, Sweden
König R, Hahn K-U, Winter J (1994) Advanced gust management systems - lessons learned and perspectives. In: Proceedings of the AGARD flight mechanics panel symposium on active control technology: applications and lessons learned, Torino, Italy
Krag B (1979) The wind tunnel behaviour of a scaled model with a gust alleviation system in a deterministic gust field. Trans Inst Meas Control 1(3)
Looye G, Joos H-D (2001) Design of robust dynamic inversion control laws using multi-objective optimization. In: Proceedings of the AIAA guidance, navigation, and control conference and exhibit, Montreal, Canada AIAA-2001-4285
Looye G, Joos H-D, Willemsen D (2001) Application of an optimization-based design process for robust autoland control laws. In: Proceedings of the AIAA guidance, navigation, and control conference and exhibit, Montreal, Canada
Lorenz DA (2004) Wavelet shrinkage in signal and image processing. Ph.D. thesis, University of Bremen
Mallat S (2009) A wavelet tour of signal processing - the sparse way. Academic Press, Dublin. ISBN: 978-0-12-374370-1
Rabadan GJ, Schmitt NP, Pistner T, Rehm W (2010) Airborne lidar for automatic feedforward control of turbulent in-flight phenomena. J Aircr 47(2)
Regan CD, Jutte CV (2012) Survey of applications of active control technology for gust alleviation and new challenges for lighter-weight aircraft. Tech report TM-2012-216008, NASA, Dryden Flight Research Center, Edwards, CA, USA
Wildscheck A (2008) An adaptive feed-forward controller for active wing bending vibration alleviation on large transport aircraft. Ph.D. thesis, TU Munich
Zeng J, Moulin B, de Callafon R, Brenner MJ (2010) Adaptive feedforward control for gust load alleviation. J Guid Control Dyn 33(2)
Acknowledgements
The author thanks the European CleanSky initiative for the partial funding of this work (under grant CSJU-GAM-SFWA-2008-01) as well as the project partners involved in the SFWA WP1.2 and especially Airbus, which provided the flexible long range aircraft model data (XRF1 model), and the colleagues Thiemo Kier and Hans-Dieter Joos from DLR Institute of System Dynamics and Control, who prepared the integrated model and provided the corresponding simulation environment and basis controller (both EFCS and FBALC).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Fezans, N. (2018). An Unusual Structure for a Feedforward Gust Load Alleviation Controller. In: Dołęga, B., Głębocki, R., Kordos, D., Żugaj, M. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Cham. https://doi.org/10.1007/978-3-319-65283-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-65283-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65282-5
Online ISBN: 978-3-319-65283-2
eBook Packages: EngineeringEngineering (R0)