Multidisciplinary Design and Optimization of Multistage Ground-launched Boost Phase Interceptor Using Hybrid Search Algorithm

Chinese Journal of Aeronautics

Volumn 23, Issue 2, 2010, Pages 170-178

  Zeeshan, Qasim ^a   Yunfeng, Dong ^a   Nisar, Khurram ^a   Kamran, Ali ^a   Rafique, Amer ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

boost phase; genetic algorithm; grain design; interceptor; optimization; solid rocket motor

Indexed keywords

BOOST PHASE INTERCEPT; DESIGN AND OPTIMIZATION; DESIGN OBJECTIVES; GLOBAL OPTIMIZER; GRAIN DESIGN; GROSS LIFT-OFF MASS; GROUND-BASED INTERCEPTORS; HIGH FIDELITY MODELS; HYBRID OPTIMIZATION ALGORITHM; HYBRID SEARCH ALGORITHMS; INTERCEPTOR; INTERNAL BALLISTIC; KILL VEHICLES; LOCAL OPTIMIZERS; LUMPED PARAMETER METHOD; MASS PROPERTIES; MISSION CONSTRAINTS; MULTIDISCIPLINARY DESIGN AND OPTIMIZATION; NOZZLE GEOMETRIES; OPTIMAL POSITION; PERFORMANCE OBJECTIVE; PERFORMANCE PREDICTION; SEQUENTIAL QUADRATIC PROGRAMMING; SOLID PROPULSION; SOLID ROCKET MOTORS;

COMPUTATIONAL EFFICIENCY; CONCEPTUAL DESIGN; FLIGHT DYNAMICS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; OPTIMIZATION; PROPULSION; QUADRATIC PROGRAMMING; ROCKET ENGINES; ROCKET NOZZLES; ROCKETS;

NOZZLE DESIGN;

EID: 77951232451     PISSN: 10009361     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1000-9361(09)60201-6     Document Type: Article

References (43)

1. Hartfield R J, Jenkins R M, Burkhalter J E. Ramjet powered missile design using a genetic algorithm. AIAA-2004-451, 2004.
2. Brown N, Olds J. Evaluation of multidisciplinary optimization (MDO) technique applied to a reusable launch vehicle. AIAA-2005-707, 2005.
3. Riddle D B, Hartfield R J, Burkhalter J E, et al. Genetic algorithm optimization of liquid propellant missile systems. AIAA-2007-362, 2007.
4. Douglas J B, Hartfield R J Jr, Burkhalter J E, et al. Design optimization of a space launch vehicle using a genetic algorithm. AIAA-2007-1863, 2007.
5. Hull D G, Salguero D E. Missile sizing for ascent-phase intercept. AIAA-1994-3450, 1994.
6. Anderson M B. Design of a missile interceptor using genetic algorithms. PhD thesis, Auburn University, 1998.
7. Anderson M B, Burkhalter J E, Jenkins R M. Design of an air to air interceptor using genetic algorithms. AIAA-1999-4081, 1999.
8. Anderson M B, Burkhalter J E, Jenkins R M. Intelligent systems approach to designing an interceptor to defeat highly maneuverable targets. AIAA-2001-1123, 2001.
9. Mantle P.J. The missile defense equation: factors for decision making (2004), AIAA, Reston
10. Wilkening D.A. Airborne boost-phase ballistic missile defense (2004), Taylor & Francis Inc., Florence
11. Crossley W A, Williams E A. A study of adaptive penalty functions for constrained genetic algorithm based optimization. AIAA 35th Aerospace Sciences Meetings and Exhibit. 1997.
12. Anderson M.B. Genetic algorithms in aerospace design: substantial progress, tremendous potential (2002), NATO/Von Karmen Institute Workshop on Intelligent System, Brussels
13. Goldberg D.E. Genetic algorithms in search, optimization, and machine learning. 1st ed. (1989), Addison Wesley Longman, Reading
14. Powell M.J.D. A fast algorithm for nonlinearly constrained optimization calculations. In: Watson G.A. (Ed). Numerical Analysis, Lecture Notes in Mathematics (1978), Springer Verlag, Berlin 144-157 630;
15. Powell M.J.D. The convergence of variable metric methods for nonlinearly constrained optimization calculations. In: Mangasarian O.L., Meyer R.R., and Robinson S.M. (Eds). Nonlinear Programming 3 (1978), Academic Press, New York 27-63
16. Gill P.E., Murray W., and Wright M.H. Practical optimization (1981), Academic Press, London
17. Han S.P. A globally convergent method for nonlinear programming. Journal of Optimization Theory and Applications 22 3 (1977) 297-309
18. Fletcher R., and Powell M.J.D. A rapidly convergent descent method for minimization. Computer Journal 6 2 (1963) 163-168
19. Vicni A., and Quagliarella D. Airfoil and wing design through hybrid optimization strategies. AIAA Journal 37 5 (1999) 634-641
20. Poloni C. Hybrid GA for multiobjective aerodynamic shape optimization. In: Winter G., Periaux J., Galan M., et al. (Eds). Genetic Algorithms in Engineering. and Computer Science (1995), John Wiley and Sons Ltd, Oxford, UK 397-415
21. Renders J.M., and Flasse S. Hybrid methods using genetic algorithms for global optimization. IEEE Transactions on Systems, Man and Cybernetics, Part B 26 2 (1996) 243-258
22. Lee K.Y., Cho S., and Roh M.I. An efficient global-local hybrid optimisation method using design sensitivity analysis. Intemational Journal of Vehicle Design 28 4 (2002) 300-317
23. Nisar K., Liang G.Z., and Zeeshan Q. A hybrid optimization approach for finocyl grain design. Chinese Journal of Aeronautics 21 6 (2008) 481-487
24. Fleeman F., and Eugene L. Tactical missile design (2001), AIAA, Reston
25. He L.S. Solid ballistic missile design (2004), Beijing University of Aeronautics and Astronautics Press, Beijing [in Chinese].
26. He L.S. Launch vehicle design (2004), Beijing University of Aeronautics and Astronautics Press, Beijing [in Chinese].
27. Sutton G.P., and Biblarz O. Rocket propulsion elements. 7th ed. (2000), John Wiley & Sons, New York
28. Brooks W T. Solid propellant grain design and internal ballistics. NASA SP-8076, 1972.
29. Dunn S S, Coats D E. 3-D grain design and ballistic analysis using SPP97 code. AIAA-1997-3340, 1997.
30. Barron J G. Generalized coordinate grain design and internal ballistics evaluation program. AIAA-1968-490, 1968.
31. Dauch F, Ribéreau D. A software for SRM grain design and internal ballistics evaluation, PIBAL. AIAA-2002-4299, 2002.
32. Xiao Y.L. Rocket ballistics and dynamics (2003), Beijing University of Aeronautics and Astronautics Press, Beijing [in Chinese].
33. Blake W B. Missile DATCOM: user's manual-1997 FORTRAN 90 Revision. A707443, 1998.
34. Garrido E E Jr. Graphical user interface for a physical optics radar cross section prediction code. M. S. thesis, Monterey, California: Naval Postgraduate School, 2000.
35. Chatzigeorgiadis F. Development of code for a physical optics radar cross section prediction and analysis application. M. S. thesis, Monterey, California: Naval Postgraduate School, 2004.
36. Wilmot D.W., Owens W.R., and Shelton R.J. "Warning systems" in electro-optical systems handbook (1996), SPIE Optical Engineering Press, Bellingham, Washington
37. Davis J C, Lisowski J J. Developing a remote staring sensor for optimizing successful boost phase intercept. Proceedings of IEEE Aerospace Conference. 2002.
38. Egbert B D. Ground based radar design for intercontinental ballistic missile defense. A353663, 1999.
39. Skolnik M.I. Introduction to radar systems. 3rd ed. (2001), McGraw Hill, New York
40. DeYoung D S. Ground-based intercept of a ballistic missile infrared sensor design. A462663, 1999.
41. Uzun K. Requirements and limitations of boostphase ballistic missile intercept systems. M. S. thesis, Monterey, California: Naval Postgraduate School, 2004.
42. Mark H. Defense against ballistic missiles. AIAA-1992-0002. 1992.
43. Zarchan P. Tactical and strategic missile guidance. 3rd ed. (1997), AIAA, Reston