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Apparatus and method for designing an environment-adaptive flight model for underwater gliders, and a recording medium for performing said method

Listed on
2026-09-01
Robotics Technology Aerial/Underwater Robots Control/AI/SW
Underwater Glider Flight Model Design for Optimizing Entry Angles via Cost Function Minimization

This technology is an environment-adaptive flight model design that calibrates static and dynamic parameters using underwater glider flight characteristics and marine environmental data, and calculates optimal flight model parameters based on cost function minimization.

Existing flight models have technical limitations in that they cannot reflect real-time changes in seawater density, hydrodynamic characteristics due to biofouling, or changes in equipment weight, leading to reduced accuracy in flight trajectory prediction.

This technology inputs test flight data and marine environmental data to numerically calculate vertical velocity and entry angles. It then iteratively optimizes flight parameters—such as parasitic drag coefficients, compressibility, and excess buoyancy—to minimize the cost function between actual vertical trajectory data and the model, thereby updating the final flight model.

Key Features:
  • Setting basic flight model parameters using underwater glider measurement data, marine environmental data, and flight characteristic data.
  • Calculating the vertical velocity of the underwater glider based on the established basic parameters and setting initial conditions for flight parameters.
  • Calculating the entry angle of the underwater glider through numerical computation based on initial conditions and deriving vertical velocity from the flight model.
  • Calculating a cost function from the derived vertical velocity and determining the flight parameters that result in the minimum value as the final flight parameters.

Kyungpook National University
Jong-Jin Park
Document
Date of application:
2018-02-12
|
Patent registration number:
10-2154545
Industry
robot•automation
shipbuilding
Technology
Robotics
Artifical Intelligence
Country
Korea
Family Patent

N/A

Price
Price negotiable
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