Simulation of the transition phase for an optimally-controlled tethered vtol rigid aircraft for airborne wind energy generation

Mostafa A. Rushdi, Ahmed A. Hussein, Tarek N. Dief, Sheigeo Yoshida, Roland Schmehl

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    Airborne wind energy (AWE) is an innovative renewable energy technology, with the potential to substantially reduce the cost of energy. This paper introduces a solution for one of the main challenges of AWE systems, which is the automated reliable launching of the airborne system component. Our launch system configuration consists of a rigid-wing flying object (aircraft) equipped with a VTOL subsystem and launched vertically, with the fuselage also directed vertically. We formulate the Transition phase as an optimal control problem, so as to determine the optimal control inputs which constitute the control surface deflections and the thrust force; which steers the aircraft from hovering with its nose upwards to forward flight. Subsequently, we simulate the trajectory for two cases of optimality; (a) minimizing the power consumption and (b) minimizing the endurance, during this phase. Choosing the case of minimizing power is more reasonable for our application, as the time interval difference between the two cases is almost 3 seconds only, but with a huge difference in the power consumed. We present a detailed mathematical analysis of the system followed by extensive simulation results.

    Original languageEnglish
    Title of host publicationAIAA Scitech 2020 Forum
    PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
    ISBN (Print)9781624105951
    DOIs
    Publication statusPublished - 2020
    EventAIAA Scitech Forum, 2020 - Orlando, United States
    Duration: Jan 6 2020Jan 10 2020

    Publication series

    NameAIAA Scitech 2020 Forum
    Volume1 PartF

    Conference

    ConferenceAIAA Scitech Forum, 2020
    Country/TerritoryUnited States
    CityOrlando
    Period1/6/201/10/20

    All Science Journal Classification (ASJC) codes

    • Aerospace Engineering

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