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The Intelligent Control System and Experiments for an Unmanned Wave Glider.

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This study presents an intelligent control system for Unmanned Wave Gliders (UWGs) to enhance autonomous marine monitoring. The developed system improves path following and heading control, ensuring reliable long-term operation in challenging ocean conditions.

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Area of Science:

  • Marine robotics
  • Autonomous systems engineering
  • Control theory

Background:

  • Designing control systems for Unmanned Wave Gliders (UWGs) is complex due to their limited maneuverability, significant time-lag, and susceptibility to disturbances, making accurate mathematical modeling difficult.
  • Autonomous marine environment monitoring over extended periods and large areas necessitates high levels of intelligence and reliability in UWGs.

Purpose of the Study:

  • To design and verify an intelligent control system for the "Ocean Rambler" Unmanned Wave Glider (UWG).
  • To enhance the autonomous capabilities of UWGs for reliable, long-term marine environment monitoring.

Main Methods:

  • An intelligent control system architecture was developed using cerebrum basic function combination zone theory and hierarchic control.
  • An embedded motion control system was designed, featuring a four-layer rational behavior model.
  • A self-adapting PID guidance law combined with the line-of-sight (LOS) method was implemented for path following.
  • An improved S-surface heading controller was developed to address heading control challenges in a high-disturbance environment.

Main Results:

  • The proposed control system, guidance law, and controller demonstrated favorable control performance in simulations and sea trials.
  • The Unmanned Wave Glider successfully completed autonomous path following and marine environment monitoring tasks.
  • The feasibility and reliability of the intelligent control system for UWGs were verified.

Conclusions:

  • The developed intelligent control system significantly enhances the performance and reliability of Unmanned Wave Gliders for autonomous marine applications.
  • The proposed control strategies effectively compensate for environmental disturbances, enabling robust path following and heading control.
  • This research validates the practical application of advanced intelligent control techniques in marine robotics.