Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion | Zendy

Shulin Feng | Zendy; Zhanxin Li | Zendy; Li Liu | Zendy; Hongyong Yang | Zendy; Yuanhua Yang | Zendy; Gaohuan Lv | Zendy; Liang Yang | Zendy

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Pursuer Navigation Based on Proportional Navigation and Optimal Information Fusion

Author(s) -

Shulin Feng,

Zhanxin Li,

Li Liu,

Hongyong Yang,

Yuanhua Yang,

Gaohuan Lv,

Liang Yang

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6245168

Subject(s) - proportional navigation , pursuer , computer science , kinematics , diagonal , control theory (sociology) , range (aeronautics) , obstacle avoidance , artificial intelligence , point (geometry) , computer vision , mathematics , mobile robot , mathematical optimization , robot , control (management) , engineering , physics , geometry , missile , classical mechanics , aerospace engineering

Pursuer navigation is proposed based on the three-dimensional proportional navigation law, and this method presents a family of navigation laws resulting in a rich behavior for different parameters. Firstly, the kinematics model for the pursuer and the target is established. Secondly, the proportional navigation law is deduced through the kinematics model. Based on point-to-point navigation, obstacle avoidance is implemented by adjusting the control parameters, and the combination can enrich the application range of obstacle avoidance and guidance laws. Thirdly, information fusion weighted by diagonal matrices is used for decreasing the tracking precision. Finally, simulations are conducted in the MATLAB environment. Simulation results verify the availability of the proposed navigation law.

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