Multi-disciplinary design optimization with variable complexity modeling for a stratosphere airship
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摘要
This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.
This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.
This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.
引文
1.Russo B,Scotto M,Sillitti A,Succi G.Advanced airship technologies and design approaches.Reston,Virginia:AIAA;2015.
2.Moomey ER.Technical feasibility of loitering lighter-than-air near-space maneuvering vehicles[dissertation].Maxwell Air Force Base:Air University;2005.
3.Zhu M,Yin S,Liang HQ,Zhang XY.Near space airship conceptual design and optimization.Journal of Communications and Information Networks 2016;1(1):125-33.
4.Katikala S.Google project Loon.Rivier Academic Journal 2014;10(2):3-8.
5.Loon.LLC.Loon[Internet].[cited 1 March 2018].Available from https://loon.co/.
6.Simonite T.MIT technology review:Project Loon[Internet].[cited1 March 2018].Available from:https://www.technologyreview.com/s/534986/project-loon/.
7.Michel AH,Gettinger D.The drone revolution revisited:An assessment of military unmanned systems in 2016.New York,USA:Bard College;2016.
8.High altitude airship.Lockheed Martin Corporation[Internet].[cited 1 March 2018].Available from:https://www.lockheedmartin.com/en-us/products/unmanned-aerostats-airships-and-lighterthan-air-technology.html/.
9.Yin S,Zhu M,Liang HQ,Zhao D.Conceptual design optimization of tensairity girder using variable complexity modeling method.International Journal of Aeronautical and Space Sciences2016;17(1):29-36.
10.Yin S.Study on optimization design and simulation of stratosphere airship[dissertation].Beijing:Beihang University;2016[Chinese].
11.Zhao S,Liu DX,Zhao D,Wu G,Yin S,Zhou P.Change rules of a stratospheric airship’s envelope shape during ascent process.Chinese Journal of Aeronautics 2017;30(2):752-8.
12.Wang XL,Shan XX.Shape optimization of stratosphere airship.Journal of Aircraft 2006;43(1):283-6.
13.Ram CV,Pant RS.Multidisciplinary shape optimization of aerostat envelopes.Journal of Aircraft 2010;47(3):1073-6.
14.Ceruti A,Voloshin V,Marzocca P.Heuristic algorithms applied to multidisciplinary design optimization of unconventional airship configuration.Journal of Aircraft 2014;51(6):1758-72.
15.Wang QB,Chen JA,Fu GY,Duan DP.An approach for shape optimization of stratosphere airships based on multidisciplinary design optimization.Journal of Zhejiang University Science A2009;10(11):1609-16.
16.Liang HQ,Zhu M,Guo X,Zheng ZW.Conceptual design optimization of high altitude airship in concurrent subspace optimization.50th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition;2012 Jan 9-12;Nashville,USA.Reston:AIAA;2012.p.1180.
17.Yang XX,Liu DN.Conceptual design of stratospheric airships focusing on energy balance.Journal of Aerospace Engineering2018;31(2):1-8.
18.Yang XX.Prediction of thermal behavior and trajectory of stratospheric airships during ascent based on simulation.Advances in Space Research 2016;57(11):2326-36.
19.Yang XX,Liu DN.Renewable power system simulation and endurance analysis for stratospheric airships.Renewable Energy2017;113:1070-6
20.Chen WJ,Xiao WW,Kroplin B,Kunze A.Structural performance evaluation procedure for large exible airship of HALEstratospheric platform conception.Journal of Shanghai Jiaotong University(Science)2007;12 E(2):293-300.
21.Gao XZ,Hou ZX,Guo Z,Liu JX,Chen XQ.Energy management strategy for solar-powered high-altitude long-endurance aircraft.Energy Conversion and Management 2013;70:20-30.
22.Kesseler E,Vankan WJ.Multidisciplinary design analysis and multiobjective optimisation applied to aircraftwing.Amsterdam,Netherlands:National Aerospace Laboratory;2006.Report No.:NLR-TP-2006-748.
23.Joshi R,Raina A,Pant R.Conceptual design of an airship using knowledge-based engineering.18th AIAA lighter-than-air systems technology conference;2009 May 4-7;Seattle,Washington.Reston:AIAA;2009.p.1-9.
24.Beijing Infinite Space Technology Co.Ltd.Everoarer[Internet].[cited 1 March 2018].Available from:http://www.infspace.net/a/project/31.html/.
25.Kanikdale T,Marathe A,Pant R.Multidisciplinary optimization of airship envelope shape.10th AIAA/ISSMO multidisciplinary analysis and optimization conference;2004 Aug 30-Sep 1;Albany,USA.Reston:AIAA;2004.p.4411.
26.Liang HQ,Zhu M,Wu Z.Using cross-validation to design trend function in kriging surrogate modeling.AIAA Journal 2014;52(10):2313-2327.
27.Jeong S,Murayama M,Yamamoto K.Efficient optimization design method using kriging model.Journal of Aircraft 2005;42(2):413-420.
28.Ceruti A,Voloshin V,Marzocca P.Multidisciplinary design optimization of unconventional airship configurations with heuristic algorithms.54th AIAA/ASME/ASCE/AHS/ASC structures,structural dynamics,and materials conference;2013 April 8-11;Boston,Massachusetts.2013.p.1676.
29.Duffie JA,Beckman WA.Solar engineering of thermal processes.4th ed.Hoboken,USA:John Wiley&Sons;2013.
30.Valavanis KP.Advances in unmanned aerial vehicles state of the art and the road to autonomy.Dordrecht:Springer;2007.
31.Wang F.Global sensitivity analysis for structure system with multivariate outputs[dissertation].Xi’an:Northwestern Polytechnical University;2016[Chinese].
2.Moomey ER.Technical feasibility of loitering lighter-than-air near-space maneuvering vehicles[dissertation].Maxwell Air Force Base:Air University;2005.
3.Zhu M,Yin S,Liang HQ,Zhang XY.Near space airship conceptual design and optimization.Journal of Communications and Information Networks 2016;1(1):125-33.
4.Katikala S.Google project Loon.Rivier Academic Journal 2014;10(2):3-8.
5.Loon.LLC.Loon[Internet].[cited 1 March 2018].Available from https://loon.co/.
6.Simonite T.MIT technology review:Project Loon[Internet].[cited1 March 2018].Available from:https://www.technologyreview.com/s/534986/project-loon/.
7.Michel AH,Gettinger D.The drone revolution revisited:An assessment of military unmanned systems in 2016.New York,USA:Bard College;2016.
8.High altitude airship.Lockheed Martin Corporation[Internet].[cited 1 March 2018].Available from:https://www.lockheedmartin.com/en-us/products/unmanned-aerostats-airships-and-lighterthan-air-technology.html/.
9.Yin S,Zhu M,Liang HQ,Zhao D.Conceptual design optimization of tensairity girder using variable complexity modeling method.International Journal of Aeronautical and Space Sciences2016;17(1):29-36.
10.Yin S.Study on optimization design and simulation of stratosphere airship[dissertation].Beijing:Beihang University;2016[Chinese].
11.Zhao S,Liu DX,Zhao D,Wu G,Yin S,Zhou P.Change rules of a stratospheric airship’s envelope shape during ascent process.Chinese Journal of Aeronautics 2017;30(2):752-8.
12.Wang XL,Shan XX.Shape optimization of stratosphere airship.Journal of Aircraft 2006;43(1):283-6.
13.Ram CV,Pant RS.Multidisciplinary shape optimization of aerostat envelopes.Journal of Aircraft 2010;47(3):1073-6.
14.Ceruti A,Voloshin V,Marzocca P.Heuristic algorithms applied to multidisciplinary design optimization of unconventional airship configuration.Journal of Aircraft 2014;51(6):1758-72.
15.Wang QB,Chen JA,Fu GY,Duan DP.An approach for shape optimization of stratosphere airships based on multidisciplinary design optimization.Journal of Zhejiang University Science A2009;10(11):1609-16.
16.Liang HQ,Zhu M,Guo X,Zheng ZW.Conceptual design optimization of high altitude airship in concurrent subspace optimization.50th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition;2012 Jan 9-12;Nashville,USA.Reston:AIAA;2012.p.1180.
17.Yang XX,Liu DN.Conceptual design of stratospheric airships focusing on energy balance.Journal of Aerospace Engineering2018;31(2):1-8.
18.Yang XX.Prediction of thermal behavior and trajectory of stratospheric airships during ascent based on simulation.Advances in Space Research 2016;57(11):2326-36.
19.Yang XX,Liu DN.Renewable power system simulation and endurance analysis for stratospheric airships.Renewable Energy2017;113:1070-6
20.Chen WJ,Xiao WW,Kroplin B,Kunze A.Structural performance evaluation procedure for large exible airship of HALEstratospheric platform conception.Journal of Shanghai Jiaotong University(Science)2007;12 E(2):293-300.
21.Gao XZ,Hou ZX,Guo Z,Liu JX,Chen XQ.Energy management strategy for solar-powered high-altitude long-endurance aircraft.Energy Conversion and Management 2013;70:20-30.
22.Kesseler E,Vankan WJ.Multidisciplinary design analysis and multiobjective optimisation applied to aircraftwing.Amsterdam,Netherlands:National Aerospace Laboratory;2006.Report No.:NLR-TP-2006-748.
23.Joshi R,Raina A,Pant R.Conceptual design of an airship using knowledge-based engineering.18th AIAA lighter-than-air systems technology conference;2009 May 4-7;Seattle,Washington.Reston:AIAA;2009.p.1-9.
24.Beijing Infinite Space Technology Co.Ltd.Everoarer[Internet].[cited 1 March 2018].Available from:http://www.infspace.net/a/project/31.html/.
25.Kanikdale T,Marathe A,Pant R.Multidisciplinary optimization of airship envelope shape.10th AIAA/ISSMO multidisciplinary analysis and optimization conference;2004 Aug 30-Sep 1;Albany,USA.Reston:AIAA;2004.p.4411.
26.Liang HQ,Zhu M,Wu Z.Using cross-validation to design trend function in kriging surrogate modeling.AIAA Journal 2014;52(10):2313-2327.
27.Jeong S,Murayama M,Yamamoto K.Efficient optimization design method using kriging model.Journal of Aircraft 2005;42(2):413-420.
28.Ceruti A,Voloshin V,Marzocca P.Multidisciplinary design optimization of unconventional airship configurations with heuristic algorithms.54th AIAA/ASME/ASCE/AHS/ASC structures,structural dynamics,and materials conference;2013 April 8-11;Boston,Massachusetts.2013.p.1676.
29.Duffie JA,Beckman WA.Solar engineering of thermal processes.4th ed.Hoboken,USA:John Wiley&Sons;2013.
30.Valavanis KP.Advances in unmanned aerial vehicles state of the art and the road to autonomy.Dordrecht:Springer;2007.
31.Wang F.Global sensitivity analysis for structure system with multivariate outputs[dissertation].Xi’an:Northwestern Polytechnical University;2016[Chinese].