Methods for Positioning Deeply-Towed Underwater Cables

Abstract

This thesis considers the problem of positioning a very long, vertical tow cable in the ocean. A derivation of the equations of cable motion is given, followed by an analysis of the nonlinear frequency response of the plant, using the method of harmonic balances and a perturbation technique. The basic control approach is to consider input preshaping and regulation designs separately, merging them to form tracking controllers. The primary pre-shaping part is a frequency-domain dynamic inversion based on recent results in robotics, and works for in-plane and coupled out-of-plane motions, as well as some other distributed-parameter physical systems. For regulator design, a number of observer-based approaches are considered, ranging from standard linear loopshaping to an approximately optimal non-linear control law with nonlinear observation. Our solution to the nonlinear optimal control problem is novel in the sense that it can accommodate multi-input/multi-output plant models of arbitrary order, a necessity for distributed plants. The preshaping techniques are verified with full-scale results from experiments in the ocean with 2000 meters of cable, and the various closed-loop methods are compared based on scale-model laboratory tests. Underwater remotely-operated vehicles, Ocean drilling, Cable dynamics.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA268917

Entities

People

  • Franz S. Hover

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Coordinate Systems
  • Differential Equations
  • Dynamic Response
  • Equations Of Motion
  • Frequency Response
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Oceanography
  • Resonant Frequency
  • Transducers

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control