An Efficient Energy Constraint Based UAV Path Planning for Search and Coverage

A path planning strategy for a search and coverage mission for a small unmanned aerial vehicle (UAV) that maximizes the area covered based on stored energy and maneuverability constraints is presented. The proposed formulation has a high level of autonomy, without requiring an exact choice of optimization parameters, and is appropriate for real-time implementation. The computed trajectory maximizes spatial coverage while closely satisfying terminal constraints on the position of the vehicle and minimizing the time of flight. Comparisons of this formulation to a path planning algorithm based on those with time constraint show equivalent coverage performance but improvement in prediction of overall mission duration and accuracy of the terminal position of the vehicle.

Language

  • English

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Filing Info

  • Accession Number: 01636245
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 24 2017 3:17PM