Multi-objective optimization for the multiphase design of active polymorphing wings

Advanced studies have been undertaken using Multidisciplinary Design Optimization (MDO) on the retrofitting of an outboard morphing wing system to an existing conventionally designed commercial passenger jet. Initial studies focusing on the single objective of specific air range improvement for a number of flight phases revealed increases of approximately 4-5% over the baseline aircraft with wing fences across each case. This validated the advantage of re-optimizing the geometric schedules for off-design conditions in comparison with fixed winglets, for which negative effects were observed. Due to the high number of design sensitivities of the outboard wing geometry it has now become necessary to conduct refined studies to analyse the effects of the wing system on additional operational performance metrics, such as take-off, initial climb, approach-climb and landing performance parameters, in order to ascertain a truly holistic representation of the benefits of morphing wing technology. In addition, further effort has been expended to couple the effects of each phase within a multiobjective framework. Thus, refined studies have been performed, incorporating a number of multiobjective optimization methods into a high-end, low fidelity aero-structural-control analysis together with a full engine model and integrated operational performance algorithm. Furthermore, updated aeroelastic functionality and improved aero-structural wing sizing allows for investigation of C-wing configurations. Results reveal the potential for significant field length reductions and climb performance enhancements, while maintaining improvements in cruise performance throughout the entire flight envelope and across multiple stage lengths.

[1]  Daniel Raymer,et al.  Enhancing Aircraft Conceptual Design using Multidisciplinary Optimization , 2002 .

[2]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[3]  Tomas Melin,et al.  Morphing Winglets for Aircraft Multi-phase Improvement , 2007 .

[4]  Kiran Kumar Annamdas,et al.  Multi-objective optimization of engineering systems using game theory and particle swarm optimization , 2009 .

[5]  Joaquim R. R. A. Martins,et al.  Aerostructural Optimization of Nonplanar Lifting Surfaces , 2010 .

[6]  Ilan Kroo,et al.  Aircraft optimization for minimal environmental impact , 2002 .

[7]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[8]  Askin T. Isikveren,et al.  A conceptual wing-box weight estimation model for transport aircraft , 2013, The Aeronautical Journal (1968).

[9]  Michael I. Friswell.  The Application of Variable Cant Angle Winglets for Morphing Aircraft Control , 2006 .

[10]  Scan Wakayama,et al.  MULTIDISCIPLINARY DESIGN OPTIMIZATION OF THE BLENDED-WING-BODY , 1998 .

[11]  John E. Dennis,et al.  Problem Formulation for Multidisciplinary Optimization , 1994, SIAM J. Optim..

[12]  J. Nash,et al.  NON-COOPERATIVE GAMES , 1951, Classics in Game Theory.

[13]  Adrien Bérard,et al.  Conceptual Design Prediction of the Buffet Envelope of Transport Aircraft , 2009 .

[14]  Fassi Kafyeke,et al.  The Application of Multi -Disciplinary Optimization Technologies to the Design of a Business Jet , 2004 .

[15]  David Kokan,et al.  Application of MD0 to Large Subsonic Transport Aircraft , 2000 .

[16]  Ilan Kroo,et al.  DRAG DUE TO LIFT: Concepts for Prediction and Reduction , 2001 .

[17]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[18]  Nasa,et al.  7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization : a collection of technical papers, September 2-4, 1998/St. Louis, Missouri , 1998 .

[19]  Askin T. Isikveren,et al.  Parametric Modeling Techniques in Industrial Conceptual Transport Aircraft Design , 2003 .

[20]  Askin T. Isikveren,et al.  Quasi-analytical Modelling and Optimisation Techniques for Transport Aircraft Design , 2002 .

[21]  Ilan Kroo,et al.  Multidisciplinary Considerations in the Design of Wings and Wing Tip Devices , 2010 .

[22]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[23]  G. Kreisselmeier,et al.  SYSTEMATIC CONTROL DESIGN BY OPTIMIZING A VECTOR PERFORMANCE INDEX , 1979 .

[24]  Michael I. Friswell,et al.  On the effectiveness of active aeroelastic structures for morphing aircraft , 2013, The Aeronautical Journal (1968).

[25]  Richard T. Whitcomb,et al.  A design approach and selected wind tunnel results at high subsonic speeds for wing-tip mounted winglets , 1976 .

[26]  Terrence A. Weisshaar,et al.  Morphing Aircraft Technology - New Shapes for Aircraft Design , 2006 .

[27]  Ilan Kroo,et al.  Framework for Aircraft Conceptual Design and Environmental Performance Studies , 2005 .