Aircraft design cycle time reduction using artificial intelligence

Aerospace Science and Technology

Volumn 26, Issue 1, 2013, Pages 244-258

  Azizi Oroumieh, Mehran Ali ^a   Mohammad Bagher Malaek, S ^b   Ashrafizaadeh, Mahmud ^a   Mahmoud Taheri, S ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Aircraft design; Artificial intelligence; Decision making; Design cycle time reduction; Fuzzy logic; Neural network

Indexed keywords

AIRCRAFT DESIGN; AIRCRAFT DESIGN PROCESS; AIRCRAFT WEIGHT; DECISION MAKING PROCESS; DESIGN CYCLE-TIME; DIRECT APPROACH; SPECIFIC CLASS; THRUST LOADING;

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DESIGN; FUZZY LOGIC; NEURAL NETWORKS; TAKEOFF;

LOADING;

EID: 84875477432     PISSN: 12709638     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ast.2012.05.003     Document Type: Article

References (59)

1. J. Alonso, P. LeGresley, and V. Pereyra Aircraft design optimization Mathematics and Computers in Simulation 79 2009 1948 1958
2. J.D. Anderson Aircraft Performance and Design 1999 WCB/McGraw-Hill
3. M. Athanasopoulos, H. Ugail, and G. Gonzlez Castro Parametric design of aircraft geometry using partial differential equations Advances in Engineering Software 40 2009 479 486
4. A. Azamatov, J. Lee, and Y. Byun Comprehensive aircraft configuration design tool for integrated product and process development Advances in Engineering Software 42 2011 35 49
5. A. Babaeia, M. Mortazavib, and M. Moradic Classical and fuzzy-genetic autopilot design for unmanned aerial vehicles Applied Soft Computing 11 2011 365 372
6. E. Cestino Design of solar high altitude long endurance aircraft for multi payload and operations Aerospace Science and Technology 10 2006 541 550
7. C. Cheng, and S. Shu Application of GA-based neural network for attitude control of a satellite Aerospace Science and Technology 14 2010 241 249
8. C. Cheng, S. Shu, and P. Cheng Attitude control of a satellite using fuzzy controllers Expert Systems with Applications 36 2009 6613 6620
9. H. Choi, M. Tahk, and H. Bang Neural network guidance based on pursuit-evasion games with enhanced performance Control Engineering Practice 14 2006 735 742
10. S. De la Parra, and J. Angel Low cost navigation system for UAVs Aerospace Science and Technology 9 2005 504 516
11. J. Entzinger, and S. Suzuki Modeling of the visual approach to landing using neural networks and fuzzy supervisory control Aerospace Science and Technology 14 2010 118 125
12. P. Guan, X. Liub, and J. Liu Adaptive fuzzy sliding mode control for flexible satellite Engineering Applications of Artificial Intelligence 18 2005 451 459
13. M.T. Hagan, H.B. Demuth, and M.H. Beale Neural Network Design 1996 PWS Publishing Company
14. S. Haykin Neural Networks, a Comprehensive Foundation 1999 Prentice Hall
15. Z. Hua-min, D. Xiao-liang, and T. Jin-niu Neutral-network-based output-redefinition control of an unmanned aerial vehicle Procedia Engineering 15 2011 352 357
16. H. Hwang, K. Jung, I. Kang, M. Kim, S. Park, and J. Kim Multidisciplinary aircraft design and evaluation software integrating CAD, analysis, database, and optimization Advances in Engineering Software 37 2006 312 326
17. A. Jameson, and K. Ou 50 years of transonic aircraft design Progress in Aerospace Sciences 47 2011 308 318
18. Janes All the World Aircrafts 1995 2007 Janes Information Group Inc.
19. W. Ji, Q. Li, B. Xu, D. Zhao, and S. Fang Adaptive fuzzy PID composite control with hysteresis-band switching for line of sight stabilization servo system Aerospace Science and Technology 15 2011 25 32
20. S.V. Kartalopoulos Understanding Neural Networks and Fuzzy Logic Basic Concepts and Applications 1996 IEEE Press
21. J. Kim, D. woo Lee, K. Cho, S. Jo, C. Min, D. Han, and S. Cho Development of an electro-optical system for small UAV Aerospace Science and Technology 14 2010 505 511
22. J.J. Korte, R.P. Weston, T.A. Zang, Multidisciplinary optimization methods for preliminary design, Multidisciplinary Optimization Branch, MS 159, NASA Langley Research Center, Hampton, VA 23681-0001, USA, 1997.
23. S. Kurnaz, O. Cetin, and O. Kaynak Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles Expert Systems with Applications 37 2010 1229 1234
24. D. Lee, L. Gonzalez, K. Srinivas, and J. Periaux Robust evolutionary algorithms for UAV/UCAV aerodynamic and RCS design optimization Computers & Fluids 37 2008 547 564
25. C. Lee, and C. Tsai Nonlinear adaptive aggressive control using recurrent neural networks for a small scale helicopter Mechatronics 20 2010 474 484
26. H. Leeghim, Y. Choi, and H. Bang Adaptive attitude control of spacecraft using neural networks Acta Astronautica 64 2009 778 786
27. L. Leifsson, A. Ko, W. Mason, J. Schetz, B. Grossman, and R. Haftka Multidisciplinary design optimization of blended-wing-body transport aircraft with distributed propulsion Aerospace Science and Technology 25 2013 16 28
28. C. Lin, Y. Lin, and T. Wang A fuzzy guidance law for vertical launch interceptors Control Engineering Practice 17 2009 914 923
29. H. Liu, C. Sun, Z. Bai, and Q. Zhao Automated implementation of a design principle during the optimization of conceptual aircraft Knowledge-Based Systems 20 2007 277 282
30. W. Liu, and L. Wang Minimizing interference in satellite communications using transiently chaotic neural networks Computers and Mathematics with Applications 57 2009 1024 1029
31. MATLAB, A technical computing environment for high-performance numeric computation and visualization, The Math Works Inc., 2007.
32. J.D. Mattingly, W.H. Heiser, D.H. Daley, Aircraft Engine Design, AIAA Education Series, 1987.
33. N. Metni, J. Pflimlin, T. Hamel, and P. Soueres Attitude and gyro bias estimation for a VTOL UAV Control Engineering Practice 14 2006 1511 1520
34. C. Min, D. Lee, K. Cho, S. Jo, J. Yang, and W. Lee Control of approach and landing phase for reentry vehicle using fuzzy logic Aerospace Science and Technology 15 2011 269 282
35. M. Montazeri-Gh, and A. Safari Tuning of fuzzy fuel controller for aero-engine thrust regulation and safety considerations using genetic algorithm Aerospace Science and Technology 15 2011 183 192
36. F. Nagi, S. Ahmed, A.Z. Abidin, and F. Nordin Fuzzy bang-bang relay controller for satellite attitude control system Fuzzy Sets and Systems 161 2010 2104 2125
37. M. Oosterom, and R. Babuska Design of a gain-scheduling mechanism for flight control laws by fuzzy clustering Control Engineering Practice 14 2006 769 781
38. Y. Pehlivanoglu, and O. Baysal Vibrational genetic algorithm enhanced with fuzzy logic and neural networks Aerospace Science and Technology 14 2010 56 64
39. M. Price, S. Raghunathan, and R. Curran An integrated systems engineering approach to aircraft design Progress in Aerospace Sciences 42 2006 331 376
40. A. Rahideh, A. Bajodah, M. Shaheed, Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks, in: Engineering Applications of Artificial Intelligence, http://dx.doi.org/10.1016/ j.engappai.2011.12.006, in press.
41. D.P. Raymer, Aircraft Design: A Conceptual Approach, American Institute of Aeronautics and Astronautics, Inc., Washington, DC, 20024, 1992.
42. J. Roskam, Aircraft Design, Parts I-VIII, DAR Corporation, Lawrence, KS, USA, 2000.
43. T.J. Ross Fuzzy Logic with Engineering Applications 2004 John Wiley & Sons Ltd. Chichester, England
44. A. Savran, R. Tasaltin, and Y. Becerikli Intelligent adaptive nonlinear flight control for a high performance aircraft with neural networks ISA Transactions 45 2006 225 247
45. M.A. Shahi Ashtiani, and S.M.B. Malaek Optimum selection of 'number of seats/cargo volume' for transport in uncertain business environment AIAA Journal of Aircraft 45 2008 98 105
46. A. Simes, P. Apkarian, D. Alazard, and D. Noll Lateral flight control design for a highly flexible aircraft using nonsmooth optimization Aerospace Science and Technology 15 2011 314 322
47. S. Suresh, and N. Kannan Direct adaptive neural flight control system for an unstable unmanned aircraft Applied Soft Computing 8 2008 937 948
48. H. Tianyuan, and Y. Xiongqing Aerodynamic/stealthy/structural multidisciplinary design optimization of unmanned combat air vehicle Chinese Journal of Aeronautics 22 2009 380 386
49. M. Tie-lin, and M. Dong-li Multidisciplinary design-optimization methods for aircrafts using large-scale system theory Systems Engineering - Theory & Practice 29 2009 186 192
50. A. Tsourdos, E. Hughes, and B. White Fuzzy multi-objective design for a lateral missile autopilot Control Engineering Practice 14 2006 547 561
51. J. Vasconcelos, C. Silvestre, P. Oliveira, and B. Guerreiro Embedded UAV model and LASER aiding techniques for inertial navigation systems Control Engineering Practice 18 2010 262 278
52. M. VijayaKumar, S. Suresh, S. Omkar, R. Ganguli, and P. Sampath A direct adaptive neural command controller design for an unstable helicopter Engineering Applications of Artificial Intelligence 22 2009 181 191
53. L.X. Wang A Course in Fuzzy Systems and Control 1997 Prentice Hall International Inc.
54. C.S. Wasson System Analysis Design and Development, Concepts, Principles and Practices Wileys Series in System Engineering and Managements 2006 John Wiley & Sons Hoboken, NJ
55. C. Werner-Westphal, W. Heinze, and P. Horst Structural sizing for an unconventional, environment-friendly aircraft configuration within integrated conceptual design Aerospace Science and Technology 12 2008 184 194
56. G. Xu, Y. Zhang, S. Ji, Y. Cheng, and Y. Tian Research on computer vision-based for UAV autonomous landing on a ship Pattern Recognition Letters 30 2009 600 605
57. Y. Yang, J. Wu, and W. Zheng Variable structure attitude control for an UAV with parameter uncertainty and external disturbance Procedia Engineering 15 2011 408 415
58. A. Zou, and K. Dev Kumar Adaptive attitude control of spacecraft without velocity measurements using Chebyshev neural network Acta Astronautica 66 2010 769 779
59. A. Zou, and K. Dev Kumar Adaptive fuzzy fault-tolerant attitude control of spacecraft Control Engineering Practice 19 2011 10 21