Inverse Design of Air-to-Air Missile System Based on Improved Genetic Algorithm

Abstract:

The inverse design of air-to-air missile system was researched according to its target performance database. Firstly the initial model and database of air-to-air missile were set based on a foregone and similar missile model which includes the database of aerodynamic coefficients, engine performance, mass properties, guidance law and so on. Then this initial model and database were optimally modified by using the improved elitist preserved genetic algorithm and flight simulation based on the 4-D motion differential equations of both the air-to-air missile and target vehicle. The inverse design algorithm globally minimized the performance errors which were obtained from the inversely designed envelopes compared with the desired target performance database of maximum intercept envelope and the maximum impossible escape (no-escape) envelope. The optimized numerical simulation results of inverse design are showing that both the average error and the maximum error of missile envelopes are very small and can be acceptable, which verified that the inverse design algorithm of system is high accuracy and reliable.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 302-314
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.302
• Online since: November 2012
• Authors: Hua Chao Zhao, Ying Nan, Liang Xian Gu
• Keywords: Air-to-Air Missile Envelope, Genetic Algorithm (GA), Inverse Design, Numerical Flight Simulation, System Design

References

[1] Thomas R. Barrett, Neil W. Bressloff, and Andy J. Keane, Airfoil Shape Design and Optimization Using Multifidelity Analysis and Embedded Inverse Design, AIAA JOURNAL Vol. 44, No. 9, September (2006).

DOI: 10.2514/1.18766

[2] Jeffrey K. Jepson and Ashok Gopalarathnam, Incorporation of Aircraft Performance Considerations in Inverse Airfoil Design, JOURNAL OF AIRCRAFT Vol. 42, No. 1, January–February (2005).

DOI: 10.2514/1.5373

[3] Jae-Woo Lee , Young-Ki Lee, and Yung-Hwan Byun, Design of Space Launch Vehicle Using Numerical Optimization and Inverse Method, JOURNAL OF SPACECRAFT AND ROCKETS, Vol. 38, No. 2, March–April (2001).

DOI: 10.2514/2.3672

[4] S. Ganesh and B. V. S. S. S. Prasad, Iterative Inverse Design Method with AUSM+-Up Scheme Implemented on Unstructured Grids, J OURNAL OF P ROPULSION AND P OWER Vol. 28, No. 1, January–February (2012).

DOI: 10.2514/1.56777

[5] Abdurrahman Hacioglu, Fast Evolutionary Algorithm for Airfoil Design via Neural Network, AIAA JOURNAL, Vol. 45, No. 9, September (2007).

DOI: 10.2514/1.24484

[6] Alejandro C. Limache, Inverse Shape Design of Deformable Structures and Deformable Wings, J OURNAL OF AIRCRAFT, Vol. 48, No. 1, January–February (2011).

DOI: 10.2514/1.c001007

[7] HUANG GuoQiang, LU YuPing. NAN Ying, A survey of numerical algorithms for trajectory optimization of flight vehicles, Science China, Vol. 55, (2012).

DOI: 10.1007/s11431-012-4946-y

[8] Jenn-Long Liu, Intelligent Genetic Algorithm and Its Application to Aerodynamic Optimization of Airplanes, AIAA JOURNAL, Vol. 43, No. 3, March (2005).

DOI: 10.2514/1.7070

[9] Jennifer Davis, Mario G. Perhinschi, and Hever Moncayo, Evolutionary Algorithm for Arti fi cial-Immune-System-Based Failure-Detector Generation and Optimization, J OURNAL OF GUIDANCE, CONTROL , ANDDYNAMICS, Vol. 33, No. 2, March – April (2010).

DOI: 10.2514/6.2009-5891

[10] Huang GuoQiang, Nan Ying, Lu YuPing, Calculation of All-Aspect Attack Envelope for Air-to-Air Missile Merge, Journal of Ballistics, Vol. 23, No. 2, June (2011).