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A multidisciplinary robust optimisation framework for UAV conceptual design

Published online by Cambridge University Press:  27 January 2016

N. Van Nguyen ,
J.-W. Lee ,
Y.-D. Lee  and
H.-U. Park
N. Van Nguyen
Affiliation:
Aerospace Information Engineering Department, Konkuk University, Seoul, South Korea
J.-W. Lee*
Affiliation:
Aerospace Information Engineering Department, Konkuk University, Seoul, South Korea
Y.-D. Lee
Affiliation:
Aerospace Information Engineering Department, Konkuk University, Seoul, South Korea
H.-U. Park
Affiliation:
Department of Aerospace Engineering, Ryerson University, Toronto, Canada
*
[email protected]
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Abstract

This paper describes a multidisciplinary robust optimisation framework for UAV conceptual design. An in-house configuration designer system is implemented to generate the full sets of configuration data for a well-developed advanced UAV analysis tool. A fully integrated configuration designer along with the UAV analysis tool ensures that full sets of configuration data are provided simultaneously while the UAV configuration changes during optimisation. The computational strategy for probabilistic analysis is proposed by implementing a central difference method and fitting distribution for a reduced number of Monte Carlo Simulation sampling points. The minimisation of a new robust design objective function helps to enhance the reliability while other UAV performance criteria are satisfied. In addition, the fully integrated process and a probabilistic analysis strategy method demonstrate a reduction in the probability of failure under noise factors without any noticeable increase in design turnaround time. The proposed robust optimisation framework for UAV conceptual design case study yields a more trustworthy prediction of the optimal configuration and is preferable to the traditional deterministic design approach. The high fidelity analysis ANSYS Fluent 13 is performed to demonstrate the accuracy of proposed framework on baseline, deterministic and RDO configuration.

Type
Research Article
Information
The Aeronautical Journal , Volume 118 , Issue 1200 , February 2014 , pp. 123 - 142
Copyright
Copyright © Royal Aeronautical Society 2014 

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References

1. Sobieszczanski-Sobieski, J. and Haftka, R.T. Multidisciplinary aerospace design optimization: survey of recent developments, Structural and Multidisciplinary Optimization, 1997, 14, (1), pp 1–23.Google Scholar
2. Mavris, D.N., Bandte, O. and DeLaurentis, D.A. Robust design simulation: a probabilistic approach to multidisciplinary design, J Aircr, 1999, 36, (1), pp 298–307.Google Scholar
3. Park, G.-J., Lee, T.-H., Lee, K.H. and Hwang, K.H. Robust design: An overview, AIAA J, 2006, 44, (1), pp 181–191.Google Scholar
4. Doltsinis, I. and Kang, Z. Robust design of structures using optimization methods, Computer Methods in Applied Mechanics and Engineering, June 2004, 193, (23–26), pp 2221–2237.Google Scholar
5. Park, H.-U., Kim, S.H., Lee, J.-W. and Byun, Y.-H. Design of Very Light Jet (VLJ) Aircraft Using Robust Design Optimization Approach, in CJK 5th Proceedings, Jeju, S Korea, 2008.Google Scholar
6. Chen, W., Garimella, R. and Michelena, N. Robust design for improved vehicle handling under a range of maneuver conditions, Engineering Optimization, February 2001, 33, (3), pp 303–326.Google Scholar
7. Chen, W. and Lewis, K. Robust design approach for achieving flexibility in multidisciplinary design, AIAA J, August 1999, 37, (8).Google Scholar
8. Du, X and Chen, W. Efficient uncertainty analysis methods for multidisciplinary robust design, AIAA J, March 2002, 40, (3).Google Scholar
9. Chen, W., Allen, J.K.,Tsui, K.-L. and Mistree, F. A procedure for robust design: minimizing variations caused by noise factors and control factors, ASME J Mechanical Design, J Mech Des, 118, (4), pp 478–485.Google Scholar
10. Sandgren, E. and Cameron, T.M. Robust design optimization of structures through consideration of variation, Computers and Structures, 2002, 80, pp 1605–1613.Google Scholar
11. Modelcenter 10.1, PHX ModelCenter®: http://www.phoenix-int.com/software/phx-modelcenter.php Google Scholar
12. Park, H.-U., Lee, J.-W. and Byun, Y.-H, Development of the Robust Aerospace System Design Process, 21st Canadian Congress of Applied Mechanics, Department of Mechanical & Industrial Engineering, Ryerson University, Toronto, Ontario, Canada, 3-7 June 2007.Google Scholar
13. Azamatov, A., Lee, J.-W. and Byun, Y.-H. Comprehensive aircraft confguration design tool for integrated product and process development, Advances in Engineering Software, January 2011, 42, (1–2).Google Scholar
14. Nguyen, N.-V. An Efficient Multi-Fidelity Approach for the Multi-Disciplinary Aerospace System Design and Optimization, Ph.D thesis, Konkuk University, Seoul, S Korea, 2011.Google Scholar
15. Nguyen, N.-V., Choi, S.-M., Kim, W.-S., Kim, S., Lee, J.-W. and Byun, Y.-H. Multidisciplinary unmanned combat air vehicle (ucav) system design implementing multi-fdelity models, Aerospace Science & Technology, 2012, 26, (1), pp 200–210.Google Scholar
16. Booker, A.J., Meckesheimer, M. and Torng, T. Reliability based design optimization using design explorer, Optimization and Engineering, June 2004, 5, (2), pp 179–205.Google Scholar
17. Gundlach, J.F. IV Multi-disciplinary design optimization of subsonic fxed-wing unmanned aerial vehicles projected through 2025, Virginia Polytechnic Institute and State University, USA, 2004.Google Scholar
18. ANSYS Fluent 13, ANSYS, Inc., www.ansys.com.Google Scholar
19. Hartman, E.P. and Biermann, D. The aerodynamic characteristics of full-scale propellers having 2, 3 and 4 blades of Clark y and R.A.F. 6 airfoil sections, NACA-TR-640, USA,Google Scholar
20. Rotax Turbo Charge 914. http://www.rotaxparts.net/scripts/prodView.asp?idproduct=39.Google Scholar
21. Raymer, D.P. Aircraft Design: A Conceptual Approach, 5th ed, AIAA, 2012.Google Scholar
22. MATLAB 2012 toolbox, http://www.mathworks.co.kr/products/matlab/ Google Scholar
23. Pointwise 16 User manual: http://www.pointwise.com/ Google Scholar