Flight Path Planning for UAV Atmospheric Energy Harvesting Using Heuristic Search | Zendy

Anjan Chakrabarty | Zendy; Jack W. Langelaan | Zendy

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Flight Path Planning for UAV Atmospheric Energy Harvesting Using Heuristic Search

Author(s) -

Anjan Chakrabarty,

Jack W. Langelaan

Publication year - 2010

Publication title -

aiaa guidance, navigation and control conference

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2514/6.2010-8033

Subject(s) - atmosphere (unit) , energy (signal processing) , heuristic , wind speed , wind power , motion planning , computer science , atmospheric model , path (computing) , simulation , meteorology , mathematical optimization , path length , wavefront , aerospace engineering , environmental science , engineering , mathematics , artificial intelligence , geography , physics , statistics , electrical engineering , computer network , robot , optics , programming language

This paper presents an approach to planning long distance autonomous soaring trajectories for small uninhabited aerial vehicles harvesting energy from the atmosphere. An A* algorithm is used with a cost function which is the weighted sum of energy required and distance to goal. The eect of varying the weight parameter on the ight paths is explored. The required initial energy for varying weight is examined, and the results are compared with a wavefront expansion planning algorithm. The weight is selected based on maximum energy utilization that is available from the atmosphere and minimizing time to reach the goal. Optimal weight is selected based on simulation results and the performance of A* is studied for a realistic wind eld. Optimal energy ecient routes are predicted from a given wind eld data.

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