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Multi-aircraft cooperative path planning for maneuvering target detection

  • * Corresponding author: Yongkun Wang

    * Corresponding author: Yongkun Wang 
Abstract / Introduction Full Text(HTML) Figure(12) / Table(1) Related Papers Cited by
  • 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.

    Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

    Citation:

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  • Figure 1.  An illustration for multi-aircraft air combat

    Figure 2.  Target radial velocity results without path planning in two-to-one scenario

    Figure 3.  Flight trajcetories in two-to-one scenario

    Figure 4.  Target radial velocity in two-to-one scenario

    Figure 5.  The airborne radar blind zone in two-to-one scenario with HPAGPM

    Figure 6.  The airborne radar blind zone in two-to-one scenario with GPM

    Figure 7.  Azimuth angle of the target relative to the aircraft in two-to-one scenario

    Figure 8.  The normal accelerations in two-to-one scenario

    Figure 9.  Flight trajcetories in four-to-one scenario

    Figure 10.  Target radial velocity in four-to-one scenario

    Figure 11.  Azimuth angle of the target relative to the aircraft in four-to-one scenario

    Figure 12.  The normal accelerations in four-to-one scenario

    Table 1.  Compraison results for theree methods

    Method Aboved 2v1 scenario 50 scenarios
    run time blind zone time solution probability
    PSO 195s 58s 80%
    GPM 176s 51s 92%
    HPAGPM 109s 40s 96%
     | Show Table
    DownLoad: CSV
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