Flight in flow fields
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Flight in Flow Fields. Ricardo Bencatel . Department of Aerospace Engineering University of Michigan Ann Arbor, Michigan, USA. April 22nd, 2013. Air Force Relevance. Why? Persistent operations Fuel savings Low noise signature Smaller logistical footprint - Smaller UAVs.

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Flight in Flow Fields

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Flight in flow fields

Flight in Flow Fields

Ricardo Bencatel

Department of Aerospace Engineering

University of Michigan

Ann Arbor, Michigan, USA

April 22nd, 2013


Air force relevance

Air Force Relevance

Why?

  • Persistent operations

  • Fuel savings

  • Low noise signature

  • Smaller logistical footprint - Smaller UAVs

Can standard UAVs fly without fuel?


Motivation

Motivation

  • Extended UAVs endurance and range

  • Standard UAV = Sensor & energy collector

  • Harvest air flow energy

*Edwards, D., “Implementation Details and Flight Test Results of an AutonomousSoaringController”, 2008


Flight in flow fields1

Flight in Flow Fields

How can standard UAVs fly without fuel?


Application

Application

Applications:

  • Dynamic soaring

    • High-altitude: Jet Stream

    • Low/medium altitude: mountain ridges

    • Low altitude: oceans, lakes, flat landscapes

    • Generally: Gusts

  • Static soaring

    • Plains (including desertand ice/snow)

    • Mountain ridges

  • Preliminary results

    • Smaller UAVs benefit the most

    • Existing fleet endurance/range extension


  • Research focus

    • Models

    Research Focus

    • Exploitation

    • Methods

    • Validation

    • Exploration Methods

    • Estimation

    • Endurance Extension

    • Observability


    Current contributions

    Current Contributions

    • Conditions for perpetual flight (Ph.D. dissertation)

    • New models (Accepted for publication in the Journal of Progress in Aerospace Sciences)

      • 2 3D thermal models

      • 3 wind shear models

    • Formation flight controller with collision avoidance(Presented at the CDC 2011)

    • Observability and estimators (Ph.D. dissertation)

      • Thermals (Presented at the AIS 2010)

      • Wind Shear (Presented at the GNC 2011)


    Outline

    Outline

    • Flow Field Phenomena

    • Formation Flight

    • Dynamic Soaring


    Flow field phenomena

    • Models

    • Models

    Flow Field Phenomena

    • Exploitation

    • Methods

    • Validation

    • Exploration Methods

    • Estimation

    • Endurance Extension

    • Observability


    Flow field phenomena1

    Flow Field Phenomena

    • Wind currents

    • Wind gradients

    Bencatel, R., Sousa, J. B., and Girard, A. R., “Atmospheric Flow Field Models Applicable for Aircraft Endurance Extension," Accepted for Publication in Progress in Aerospace Sciences, 2013.


    Flight in flow fields

    Flow Field Phenomena

    • Thermals


    Flight in flow fields

    Flow Field Phenomena

    • Wind Shear


    Flight in flow fields

    • Models

    • Model Validation

    Formation Flight

    • Exploitation

    • Methods

    • Validation

    • Exploration Methods

    • Estimation

    • Endurance Extension

    • Observability


    Flight in flow fields

    Formation Flight

    • Validate Thermal’s flow field model

    • Safely take spatially distributed samples


    Sliding mode controller

    Inter-UAV relative frame

    Collision Avoidance strategy over the “connecting” axis:

    Maximum velocity strategy over the orthogonal axis:

    Sliding Mode Controller


    Sliding mode controller1

    Kinematic Model

    Controller (Feedback Linearization and Sliding Mode)

    Information structure

    All UAVs know each other and the leader

    Sliding Mode Controller

    Ricardo Bencatel, MariamFaied, João Sousa, and Anouck Girard, “Formation Control with Collision Avoidance,” 50th IEEE CDC and ECC, 2011


    Formation flight

    Formation Flight


    Dynamic soaring

    • Models

    • Exploitation Methods

    Dynamic Soaring

    • Exploitation

    • Methods

    • Validation

    • Exploration Methods

    • Estimation

    • Endurance Extension

    • Observability


    Dynamic soaring1

    Dynamic Soaring


    Dynamic soaring2

    Dynamic Soaring


    Dynamic soaring3

    Dynamic Soaring


    Dynamic soaring4

    Dynamic Soaring


    Conclusions

    Conclusions


    Conclusions1

    • Models

    • Observability

    • Models

    • Flow Field Estimation

    • Exploitation Methods

    • Model Validation

    Conclusions

    Formation Flight

    ThermalsWind ShearGusts

    • Exploitation

    • Methods

    • Validation

    Wind

    Thermals

    • Exploration Methods

    • Estimation

    • Endurance Extension

    • Observability

    Dynamic Soaring


    Publications

    Publications

    • Ph.D. dissertation

    • 1 accepted journal paper

    • 4 accepted conference papers


    Collaborations

    Collaborations

    • AFRL:

      • Dynamic Soaring

      • Precision air drops

    • University of Porto & Portuguese Air Force


    Future work

    Future Work

    • Can a flow field exploitation controller be introduced in a USAF UAV mission?

    • How should the exploitation trajectories be combined?

    • Can we harvest more energy if we have an electrical regeneration system?

    • Are the presented thermal and wind shear models valid?

    • Usefulness - How frequent are the studied?


    Future work1

    • Model Validation

    • Endurance Extension

    • Models

    • Exploration Methods

    • Precision Air Drops

    • Flow Field Estimation

    • Exploitation Methods

    Future Work

    Formation Flight

    • Exploitation

    • Methods

    • Validation

    Landing Point Approach Control

    Wind

    Gradients

    Volume

    • Exploration Methods

    • Endurance Extension

    • Estimation

    • Observability

    Dynamic Soaring


    Flight in flow fields2

    Flight in Flow Fields

    Ricardo Bencatel

    [email protected]

    Department of Aerospace Engineering

    University of Michigan

    Ann Arbor, Michigan, USA

    April 22nd, 2013


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