The invention discloses an autonomous flight path
planning method for a small-sized unmanned aerial vehicle. The method comprises the following steps that: S1,
GPS positioning is carried out: the GPSof a four-axis aircraft is adopted to locate the position of the small-sized unmanned aerial vehicle; S2, an improved A-Star
algorithm is used as a flight path planning
algorithm to achieve the flightpath tracking of the small-sized unmanned aerial vehicle; S3, an
ant colony evolution
algorithm is adopted to optimize feasible flight paths: a flight path calculated by the improved A-Star algorithmin the S2 is inputted to the
ant colony algorithm, and the
ant colony algorithm optimizes the feasible flight paths and calculates a shortest flight path; and S4, post-
processing is performed on an optimal flight path: all flight path points on the same line are summarized into a straight
line segment containing a head end point and a
tail end point. A traditional small-sized unmanned aerial vehicle is controlled by a
remote control device, the movement range of the small-sized unmanned aerial vehicle is easily limited to the
sight distance range of a controller, and as a result, the autonomous flight of the small-sized unmanned aerial vehicle cannot be realized, and the small-sized unmanned aerial vehicle cannot have a wider movement range, while, with the method of the invention adopted, the above problem can be solved.