ENERGY OPTIMAL TRAJECTORY PLANNING OF LONG-ENDURANCE UAV IN TIME-VARYING ENERGY FIELDS
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Authors
Lee, Shawn Y.
Subjects
long endurance
controls
dynamic optimization
controls
dynamic optimization
Advisors
Jones, Kevin D.
Dobrokhodov, Vladimir N.
Date of Issue
2021-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This thesis describes the development and analysis of the boundary value problem for the optimal control and trajectory of a long endurance fixed-wing unmanned aerial vehicle and builds on the Hybrid Tiger project done by the Center for Autonomous Vehicle Research at NPS. The first objective is to create a new model that relaxes the coordinated-turn constraints in order to create a general aircraft model that more realistically represents the flight in the presence of crosswind. Once this model is created, a boundary value problem formulation will be derived using the Pontryagin maximum principle to synthesize a new optimal control law that was used with the model and applied to long endurance aircraft. The DIDO solver and computational boundary value problem solvers were used to solve the boundary value problem. The code was then transitioned to Python in order to run more efficiently on a low-power computer. The optimal route-planning approach and the Hybrid Tiger is a general case that combines fuel cell propulsion and solar power combined with wind field utilization.
Type
Thesis
Description
Series/Report No
Department
Mechanical and Aerospace Engineering (MAE)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.