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

Author:

Gramajo German1ORCID,Shankar Praveen1ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering, California State University, Long Beach, 1250 N. Bellflower Blvd., Long Beach, CA 90840, USA

Abstract

A path planning strategy for a search and coverage mission for a small 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.

Publisher

Hindawi Limited

Subject

Aerospace Engineering

Reference5 articles.

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