Energy-Optimized Trajectory Planning for High Altitude Long Endurance (HALE) Aircraft


This paper outlines the energy-optimized trajectory planning problem for high altitude, long endurance (HALE) aircraft and explores both offline and online optimization techniques to address it. The goal is to find the optimal state and input trajectories for the solar-powered airplane, with input and nonlinear state constraints, which maximize net battery and gravitational potential energy storage. Solutions to the energy-optimal trajectory planning problem, using a six degree-of-freedom model of the nonlinear HALE aircraft dynamics, are computed using both an interior point optimization technique and a bounded nonlinear simplex search algorithm. The optimal trajectories, computed offline, are utilized to train an adaptive neuro-fuzzy inference system (ANFIS) which can be implemented on the flight control computer for online, in-flight trajectory planning. Simulation results show up to 15%more energy storage compared to a baseline parametrically-optimized trajectory.

Related Publications

All Publications

Turbine: Facebook’s Service Management Platform for Stream Processing

Yuan Mei, Luwei Cheng, Vanish Talwar, Michael Y. Levin, Gabriela Jacques da Silva, Nikhil Simha, Anirban Banerjee, Brian Smith, Tim Williamson, Serhat Yilmaz, Weitao Duan, Guoqiang Jerry Chen

ICDE - April 21, 2020

WES: Agent-based User Interaction Simulation on Real Infrastructure

John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers

Genetic Improvement Workshop - April 29, 2020

Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers

Harish Dattatraya Dixit, Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar

ICPE - April 20, 2020

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy