Open AccessMulti-aircraft cooperative path planning for maneuvering target detection
Author(s) -
Yongkun Wang,
Fenghua He,
Xiaobo Deng
Publication year - 2022
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2021050
Subject(s) - gauss pseudospectral method , computer science , key (lock) , matlab , radar , pseudospectral optimal control , path (computing) , constraint (computer aided design) , nonlinear programming , motion planning , mathematical optimization , nonlinear system , real time computing , artificial intelligence , mathematics , pseudo spectral method , telecommunications , mathematical analysis , fourier analysis , physics , geometry , computer security , fourier transform , quantum mechanics , robot , programming language , operating system
Multi-aircraft cooperative path planning is a key problem in modern and future air combat scenario. In this paper, this problem is studied in aspect of airborne radar detection to maintain a continuous tracking of a manoeuvring air target. Firstly, the objective function is established in combination with multiple constraints considered, including Doppler blind zone constraint, radar viewing aspect constraint, baseline constraint, and so on. Then, the above optimal control problem is transformed into a nonlinear programming problem with a series of algebraic constraints by hp-adaptive Gauss pseudospectral method (HPAGPM). And it is solved by GPOPS software package based on MATLAB. Simulation results show that the optimized cooperative paths can be got to achieve continuous tracking of maneuvering air target by HPAGPM.