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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Active disturbance rejection controller design for dynamically positioned vessels based on adaptive hybrid

Defeng Wu1, Fengkun Ren2, Lei Qiao3

  • 1School of Marine Engineering, Jimei University, Xiamen 361021, PR China; Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, PR China.

ISA Transactions
|November 6, 2017
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Summary

This study introduces an adaptive hybrid optimization algorithm to tune controllers for dynamic positioning systems on vessels. The new method improves vessel control in ocean environments.

Keywords:
Active disturbance rejection controllerBiogeography-based optimizationDifferential evolutionDynamic positioning

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Area of Science:

  • Marine Engineering
  • Control Systems
  • Optimization Algorithms

Background:

  • Vessels with dynamic positioning systems (DPS) are crucial for ocean resource exploration.
  • Inaccurate vessel dynamic models and environmental disturbances necessitate robust control strategies.
  • Active Disturbance Rejection Control (ADRC) offers model-free control advantages for vessel positioning.

Purpose of the Study:

  • To develop an optimized ADRC for enhanced vessel control in dynamic oceanic environments.
  • To address the challenge of tuning ADRC parameters, which are difficult to determine manually.

Main Methods:

  • An adaptive hybrid biogeography-based optimization (BBO) and differential evolution (DE) algorithm (AHBBODE) was developed.
  • An orthogonal learning (OL) mechanism was integrated for adaptive switching between BBO and DE search strategies.
  • The AHBBODE algorithm was employed to optimize the ADRC parameters for vessel DPS.

Main Results:

  • The proposed AHBBODE algorithm effectively optimized ADRC parameters.
  • Comparative analysis demonstrated superior performance of the proposed method over standalone BBO and DE.
  • The optimized ADRC achieved better vessel movement and positioning control.

Conclusions:

  • The adaptive hybrid BBO-DE optimization approach provides an effective solution for tuning ADRC in DPS.
  • This method enhances vessel control performance in challenging oceanic conditions.
  • The study highlights the potential of hybrid optimization techniques in marine control applications.