Journal of System Simulation
Abstract
Abstract: Man-machine coordinated flight path planning of UAV low-altitude penetration is a key technology achieving manned and unmanned aerial vehicles cooperative combat. The algorithm of man-machine coordinated intelligent flight path planning was proposed, combining artificial auxiliary decision with novel intelligence algorithm, a chromosome integer code with changeable length based on angle was used to represent flight path. Human’s wisdom and experience could make up for the lack of intelligence algorithm. In the most dangerous environment, it made the best possible use of the human brain to guide solution procedures of the flight path planning on pop-up threats. A lot of simulation studies show that the on-line three-dimensional flight paths by this technical can meet the requirements of UAV low-altitude penetration, efficient implementation of threat avoidance, terrain avoidance and terrain following. This method has a certain practicality.
Recommended Citation
Peng, Ren and Gao, Xiaoguang
(2020)
"Man-machine Coordinated Intelligent Flight Path Planning Algorithm,"
Journal of System Simulation: Vol. 27:
Iss.
2, Article 13.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss2/13
First Page
313
Revised Date
2014-07-22
DOI Link
https://doi.org/
Last Page
319
CLC
V249
Recommended Citation
Ren Peng, Gao Xiaoguang. Man-machine Coordinated Intelligent Flight Path Planning Algorithm[J]. Journal of System Simulation, 2015, 27(2): 313-319.
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