Numerical multidisciplinary optimization of aircraft with flight dynamic stability constraints

Abstract

Classical approach to conceptual and preliminary design in aerospace sciences reaches limits. To go further and achieve better, competitive results’ use of optimization methods becomes mandatory. The trend is clearly visible in professional software for simulations equipped with optimization tools, which was not standard just decade ago. Many examples of multidisciplinary optimization were shown, especially with coupled aerodynamics and structure analyses, but only few of them consider dynamic stability effects in the conceptual and preliminary design. The article shows successful example of multidisciplinary design and optimization of Vertical Takeoff and Landing aircraft, which includes coupling of aerodynamics, mass analyses and innovative approach of constraints from flight dynamic stability. Presented optimization framework revealed potential for more efficient conceptual and preliminary design with the result of known dynamic stability characteristics of the aircraft. Obtaining the dynamic stability characteristics is not common on the early stages of the design yet crucial for the aircraft flight performance.

Keywords

Flight dynamics constraints MDO numerical optimization Particle Swarm Optimization VTOL

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References

Benaouali

Kachel

. A surrogate-based integrated framework for the aerodynamic design optimization of a subsonic wing planform shape. Proc IMechE, Part G: J Aerospace Engineering. Epub ahead of print 22 March 2017. DOI: 10.1177/0954410017699007.

Benaouali

Kachel

. Multidisciplinary design optimization of aircraft wing using commercial software. Integr Aerosp Sci Technol 2019; 92: 766–776.

Figat

Kwiek

. Aerodynamic optimisation of the rocket plane in subsonic and supersonic flight conditions. J Aerosp Eng. Epub ahead of print 14 August 2017. DOI: 10.1177/0954410017723672.

Klimczyk

Goraj

. Analysis and optimization of morphing wing aerodynamics. Aircr Eng Aerosp Technol 2019; 91: 538–546.

Klimczyk

Goraj

. Robust design and optimization of UAV empennage. Aircr Eng Aerosp Technol 2017; 89: 609–619.

Bazile

Calderara

. Aircraft dynamic lateral stability analytic formulation for Dutch roll mode stability prediction. Prog Flight Phys 2012; 3: 53–62.

Bras

Vale

Lau

, et al. Flight dynamics and control of a vertical tailless aircraft. Aeronaut Aerosp Eng. Epub ahead of print January 2013. DOI: 10.4172/2168-9792 1000119.

Mader

ChA

Martins

JRRA

. Stability-constrained aerodynamic shape optimization of flying wings. J Aircr 2013; 50: 1431–1449.

Morris CC, Sultan C, Allison DL, et al. Towards flying qualities constraints in the multidisciplinary design optimization of a supersonic tailless aircraft. In: 12th AIAA aviation technology, integration, and operations (ATIO) conference and 14th AIAA/ISSM, 17–19 September 2012, Indianapolis, IN, USA.

10.

Goetzendorf-Grabowski

Rodzewicz

. Design of UAV for photogrammetric mission in Antarctic area aerodynamic and stability analysis of personal vehicle in tandem-wing configuration. J Aerosp Eng 2016; 231: 1660–1675.

11.

Goetzendorf-Grabowski

Antoniewski

. Three surface aircraft (TSA) configuration – flying qualities evaluation. Aircr Eng Aerosp Technol 2016; 88: 277–284.

12.

Goraj

. Flight dynamics models used in different national and international projects. Aircr Eng Aerosp Technol Int J 2014; 86: 166–178.

13.

Mieloszyk

Goetzendorf-Grabowski

. Introduction of full flight dynamic stability constraints in aircraft multidisciplinary optimization. Aerosp Sci Technol 2017; 68: 252–260.

14.

Goetzendorf-Grabowski

. Multi-disciplinary optimization in aeronautical engineering. J Aerosp Eng 2017; 231: 2305–2313.

15.

Goetzendorf-Grabowski

Mieloszyk

. Common computational model for coupling panel method with finite element method. Aircr Eng Aerosp Technol 2017; 89: 654–662.

16.

Drela M. XFOIL: an analysis and design system for low Reynolds number airfoils. In: Mueller TJ (ed) Low Reynolds number aerodynamics. Lecture Notes in Engineering. vol. 54, 1989, pp.1–12. Berlin, Germany: Springer.

17.

Gudmundsson

. General aviation aircraft design: applied methods and procedures, 1st ed. Amsterdam, The Netherlands: Elsevier Inc., 2014.

18.

Noth A. Design of solar powered airplanes for continuous flight. Doctoral Thesis, ETH Zurich, 2008.

19.

Goetzendorf-Grabowski T. SDSA – simulation and dynamic stability analysis – software package. Warsaw University of Technology, www.meil.pw.edu.pl/add/ADD/Teaching/Software/SDSA (2018, accessed 10 May 2020).

20.

Goetzendorf-Grabowski

Mieszalski

Marcinkiewicz

. Stability analysis using SDSA tool. Prog Aerosp Sci 2011; 47: 636–646.

21.

European Aviation Safety Agency Certification Specifications for Normal, Utility, Aerobatic, and Commuter Category Aeroplanes – CS-23, Amendment 3, 2012.

22.

Kennedy J and Eberhart R. Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks, Perth, Australia, 1995, pp.1942–1945.

23.

Mieloszyk J. Handling optimization problems on an example of micro UAV. In: Proceedings of the 3rd CEAS air & space conference, 21st AIDAA congress, Venice, Italy, 24–28 October 2011.

24.

Mieloszyk J. OptiM – software package for numerical optimization, Warsaw University of Technology, www.meil.pw.edu.pl/add/ADD/Teaching/Software/OptiM (2018, accessed 10 May 2020).

25.

MIL-F-8785C – Military specification flying qualities of piloted airplanes, 5 November 1980.