Propulsion systems for micro-Autonomous Underwater Vehicles (uAUVs)

S A Watson, P N Green

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Abstract

    The development of small-scale sensor platforms for the internal monitoring of aqueous processes creates a range of challenges in terms of the provision of mobility. De-coupled x-y plane and z-axis movement, the need for low power consumption and a minimum of 4 degrees of freedom means that the suitability of conventional propulsion systems needs to be investigated. This paper presents a brief summary and comparison of the available propulsion options. Propellers have been chosen as the best means of propulsion and a novel approach to modeling and selection of both motors and propellers is given. The thruster configuration and initial mechanical designs for a uAUV are also outlined.
    Original languageEnglish
    Title of host publicationRobotics Automation and Mechatronics (RAM), 2010 IEEE Conference on
    Pages435-440
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    EventProceedings of 4th IEEE International Conference on Robotics, Automation and Mechatronics, - Singapore
    Duration: 28 Jun 201030 Jun 2010

    Conference

    ConferenceProceedings of 4th IEEE International Conference on Robotics, Automation and Mechatronics,
    CitySingapore
    Period28/06/1030/06/10

    Keywords

    • marine systems
    • microrobots
    • mobile robots
    • propulsion
    • remotely operated vehicles
    • underwater vehicles
    • uAUV
    • aqueous process monitoring
    • de coupled x-y plane
    • micro-autonomous underwater vehicle
    • propulsion system
    • small scale sensor platform
    • Automotive engineering
    • Biomimetics
    • Energy consumption
    • Large-scale systems
    • Mechanical sensors
    • Monitoring
    • Propellers
    • Propulsion
    • Sensor systems
    • Underwater vehicles
    • Autonomous underwater vehicles (AUVs)
    • buoyancy systems
    • underwater sensor networks

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