Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 86-90.doi: 10.3969/j.issn.1001-506X.2018.01.13

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Three-dimensional planning of unmanned aerial vehicle based on AICS

WU Jian1, SHU Jiansheng1, LI Yaxiong1, SU Guohua2, HE Yanping1   

  1. 1. Staff room Combat Planning, Rocket Force Engineering University, Xi’an 710025, China; 2. The 3rd Institute, Equipment Academy of Rocket Force, Beijing 100094, China
  • Online:2018-01-08 Published:2018-01-08

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Abstract:

As an optimization problem with large-scale, multiple constraints and targets, the complex of route planning is very difficult to achieve the automatically planning. Control variable of horizontal planning based on local polar coordinates and vertical planning based on the height of the specific horizontal section flight-path are constructed. The auto route planning model of unmaned aerial vehicle (UAV), using the horizontal flight-path control variable as optimization variable and the step-by-step planning strategy, is established based on the artificial immune clone selection (AICS) algorithm. The model can bring the computer’s characteristics of quick-calculation and high-capacity to play. Meanwhile, the model can improve the accuracy and efficiency of the manual method based on the pretreatment result. Simulation results prove the feasibility and validity of the model.

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