GUIDING UNMANNED AERIAL VEHICLE PATH PLANNING DESIGN BASED ON IMPROVED ANT COLONY ALGORITHM, 48-54.
Wenzhi Wu and Ying Wei
Keywords
Path planning, ant colony algorithm, UAV, MATLAB, simulation
Abstract
This paper is specific to the requirements of guiding flight and
navigation control of an unmanned aerial vehicle (UAV) and the
problems such as slow convergence rate and unreasonable path
planning occurred in the path planning of a traditional ant colony
algorithm. In this paper, the ant colony algorithm combined with the
manual correction algorithm added with angle calculation operators
is adopted, and systematic angle calculation operators are introduced
as a part of the heuristic information so that the combined algorithm
has higher global searching ability and reasonable guiding ability,
and local optimum caused by misleading of heuristic information
in the traditional ant colony algorithm can be avoided. To verify
the validity of this algorithm, a simulation experiment based on
MATLAB simulation is conducted, and meanwhile, experiments are
conducted at a practical guiding ground station. The experimental
results indicate that the motion path of the UAV is smooth, which
is close to the optimal path.
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