Modeling of the Aqua-Quad Solar Power Generation System

Abstract

The Aqua-Quad is a solar-powered hybrid autonomous vehicle being developed by the United States Naval Postgraduate School for surface and underwater reconnaissance. The vehicle rides on ocean currents and flies in the air to relocate. A realistic model of the Aqua-Quad's solar power generation system was developed to predict the electrical energy generated given its geographic location and charging duration. This model can be employed within a lab environment for development work or integrated into the Aqua-Quad's logic for operational use. Variables affecting solar power generation, such as geographic location and time of day and year, solar array tilt due to sea state, and degradation of the solar array efficiency were considered. Efficiencies of the solar power generation system and electrical components were also characterized through experiments and incorporated into the model to account for actual field performance. With a solar power generation model, the systematic development of the Aqua-Quad can be optimized, the cost function of the mission planning algorithm can be determined, the feasible mission envelope can be realistically evaluated, and mission execution can be made energy optimal.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1126979

Entities

People

  • Gabriel G. Lim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Systems
  • Detectors
  • Electric Power
  • Energy
  • Environment
  • Inertial Measurement Units
  • Measurement
  • Mechanical Engineering
  • Ocean Currents
  • Propulsion Systems
  • Radiation
  • Renewable Energy
  • Sensor Networks
  • Solar Cells
  • Solar Energy
  • Solar Panels
  • Solar Radiation
  • Standards
  • United States
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Computational Fluid Dynamics (CFD)
  • Energy Conservation and Renewable Energy Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Autonomy