Semester
Spring
Date of Graduation
2004
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Mechanical and Aerospace Engineering
Committee Chair
Marcello R. Napolitano.
Abstract
The effort of this research is to move toward enabling Unmanned Air Vehicles to fly in autonomous formations with intelligent mission planning capabilities. In particular, UAVs will be able to autonomously perform path planning and task allocation. During missions, the UAVs must be able to avoid threats and no-fly zones while still reaching their target optimally in time.;A path planning and task allocation approach was first developed that treats the problem as a Multi-dimensional, Multiple-Choice Knapsack Problem. Paths are selected and task assigned while minimizing the UAV team's overall mission cost. Next, a SIMULINK-based centralized simulation environment was created. This simulation uses the path planning and task allocation scheme previously developed, and adds time-varying, dynamic environment aspects. The latter part of the research effort was focused on development of a decentralized simulation environment. This decentralized version includes a vehicle's own decision making capabilities and communication amongst a team of vehicles. (Abstract shortened by UMI.).
Recommended Citation
Lechliter, Matthew C., "Decentralized control for UAV path planning and task allocation" (2004). Graduate Theses, Dissertations, and Problem Reports. 1443.
https://researchrepository.wvu.edu/etd/1443