Fractional Calculus Guidance Algorithm in a Hypersonic Pursuit-Evasion Game
Author(s) -
Jian Chen,
Qilun Zhao,
Zixuan Liang,
Peng Li,
Zhang Ren,
Yongjun Zheng
Publication year - 2017
Publication title -
defence science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.198
H-Index - 32
eISSN - 0976-464X
pISSN - 0011-748X
DOI - 10.14429/dsj.67.10897
Subject(s) - pursuit evasion , hypersonic speed , differentiator , nonlinear system , robustness (evolution) , control theory (sociology) , line of sight , fractional calculus , computer science , differential game , proportional navigation , mathematics , law , algorithm , mathematical optimization , engineering , aerospace engineering , artificial intelligence , physics , computer network , biochemistry , chemistry , control (management) , bandwidth (computing) , quantum mechanics , political science , gene , missile
Aiming at intercepting a hypersonic weapon in a hypersonic pursuit-evasion game, this paper presents a fractional calculus guidance algorithm based on a nonlinear proportional and differential guidance law. First, under the premise of without increasing the complexity degree of the guidance system against a hypersonic manoeuvering target, the principle that the differential signal of the line-of-sight rate is more sensitive to the target manoeuver than the line-of-sight rate is employed as the guidelines to design the guidance law. A nonlinear proportional and differential guidance law (NPDG) is designed by using the differential derivative of the line-of-sight rate from a nonlinear tracking differentiator. By using the differential definition of fractional calculus, on the basis of the NPDG, a fractional calculus guidance law (FCG) is proposed. According to relative motions between the interceptor and target, the guidance system stability condition with the FCG is given and quantitative values are also proposed for the parameters of the FCG. Under different target manoeuver conditions and noisy conditions, the interception accuracy and robustness of these two guidance laws are analysed. Numerical experimental results demonstrate that the proposed guidance algorithms effectively reduce the miss distance against target manoeuvers. Compared with the NPDG, a stronger robustness of the FCG is shown under noisy condition.
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