[1]LIU Min,ZOU Jie,FENG Xing,et al.Smooth trajectory planning of an unmanned aerial vehicleusing an artificial bee colony algorithm[J].CAAI Transactions on Intelligent Systems,2011,6(4):344-349.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
6
Number of periods:
2011 4
Page number:
344-349
Column:
学术论文—智能系统
Public date:
2011-08-25
- Title:
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Smooth trajectory planning of an unmanned aerial vehicleusing an artificial bee colony algorithm
- Author(s):
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LIU Min1; 2; ZOU Jie1; 2; FENG Xing1; 2; ZHAO Zhenyu1; 2
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1.Science and Technology on Electrooptic Control Laboratory, Luoyang 471009, China;
2. Luoyang Institute of ElectroOptical Equipment, AVIC, Luoyang 471009, China
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- Keywords:
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unmanned aerial vehicle (UAV); trajectory planning; artificial bee colony (ABC) algorithm; smoothing
- CLC:
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TP18;V19
- DOI:
-
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- Abstract:
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Trajectory is a key issue for an unmanned aerial vehicle (UAV), which aims to obtain an optimal or suboptimal trajectory within proper time. The artificial bee colony (ABC) is a new algorithm based on how a bee colony finds food. On the basis of introducing the basic principle of the ABC, and the description of threatening models of a UAV, the UAV trajectory planning was transformed into an optimization problem through modeling. Then the optimal solution of the multidimensional function was given by taking advantage of the artificial bee colony algorithm. Finally, the smoothing strategy was adopted to obtain a feasible path. The feasibility and effectiveness of the proposed approach was verified by experimental results.