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TANG Sheng-jing, XU Xiao-xia, DAI Bin. Short Range Top Attack Trajectory Optimum Design Based on Genetic Algorithm[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2006, 15(1): 13-16.
Citation: TANG Sheng-jing, XU Xiao-xia, DAI Bin. Short Range Top Attack Trajectory Optimum Design Based on Genetic Algorithm[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2006, 15(1): 13-16.
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Short Range Top Attack Trajectory Optimum Design Based on Genetic Algorithm

  • School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China

Funds:theMinisterialLevelAdvancedResearchFoundation(200320101)
  • Received Date:2005-05-18
    Abstract
  • A flying-body is considered as the reference model, the optimized mathematical model is established. The genetic operators are designed and algorithm parameters are selected reasonably. The scheme control signal in short range top attack flight trajectory is optimized by using genetic algorithm. The short range top attack trajectory designed meets the design requirements, with the increase of the falling angle and the decrease of the minimum range. The application of genetic algorithm to top attack trajectory optimization is proved to be feasibly and effectively according to the analyses of results.
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    • References (8)
  • [1]
    Wang Xiaoping , Cao Liming. Genetic alg orithm: Theory , application and softw ar e realization [M]. Xi?? an:Xi?? an Jiaotong University Press, 2002. (in Chinese)
    [2]
    Zhou Ming , Sun Shudo ng. Genetic algorit hms: Theoryand applications [M]. Beijing: Natio nal Defence I ndustryPress, 1995. (in Chinese)
    [3]
    Xu Zongben, Chen Zhiping, Zhang Xiangsun. New advance in fundamental study of GAs [J]. Advances inMathematics, 2000, 29(2); 97-113.
    [4]
    Cong Mingyu, Wang Liping. An intelligentizing geneticalg orithm[J]. Hig h Technology Letters, 2003, 4: 43-48.
    [5]
    Qian Xingfang, Lin Ruix iong, Zhao Yanan. Flight dynamics [M]. Beijing; Beijing I nstitute of TechnologyPress, 2000. (in Chinese)
    [6]
    Wang Xiaopeng. Aerodynamic par ameter identification offlight vehicles based on adaptive g enetic algorit hm [J]. Journal of Astronautics, 2003, 24(3); 303-308.
    [7]
    Qian Weiqi, Wang Qing, He Kaifeng, et al. Applicationof hybr id g enetic algorithms for aerodynamic parameterestimation[J]. Flight Dynamics, 2004, 22(1); 33-36.
    [8]
    Xu Xiaox ia. Flight tr ajectory research and optimum design based on genetic alg orithm [D]. Beijing: School ofMechatronic Engineering , Beijing Institute of Technology, 2005. (in Chinese)
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