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Scientific Reports· 2026Q1

Robust trajectory tracking of an underactuated ROV under compound flow disturbances using ADRC-GISMC

Haowei Zhang, Pengchao Yao, Zhiwei Shen, Jiaxun Chen et al.

Short summary

ADRC-GISMC offers a trade-off among position tracking, attitude response, energy demand, and allocation feasibility for underactuated ROVs facing complex flow disturbances, outperforming other control methods in specific scenarios.

AI-generated from the title and abstract; the full text is not read.

Key points

  • ADRC-GISMC is evaluated for underactuated ROV trajectory tracking under combined background current and outfall plume disturbances.
  • The strategy offers a trade-off between position tracking, attitude response, energy demand, and allocation feasibility, unlike methods optimizing single metrics.
  • Performance is assessed via Monte Carlo simulations, sensitivity analyses, and diagnostics under balanced and strong disturbance conditions.
  • The findings support ESO-based disturbance compensation integrated with global integral sliding mode for ROV control evaluations.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Trajectory tracking of remotely operated vehicles (ROVs) remains difficult when hydrodynamic coupling, plant uncertainty, actuator constraints, and spatially varying flow disturbances act simultaneously. This study presents a simulation-based evaluation of an ADRC-GISMC strategy for an underactuated ROV under an engineering-oriented compound disturbance model combining background-current and local outfall-plume components. SMC, ADRC, ADRC-SMC, and ADRC-GISMC are compared using the same full six-degree-of-freedom rigid-body plant, rank-deficient thruster-allocation layer, reference trajectory, and actuator settings. Under the tested balanced and strong conditions, ADRC-GISMC does not minimize every tracking metric; instead, it provides a metric-dependent trade-off among position tracking, attitude response, executed moment-energy demand, and allocation feasibility. This trade-off is further examined through a paired Monte Carlo analysis with 100 plant-parameter samples, actuator-constraint and measurement/sampling tests, a local one-factor-at-a-time disturbance-sensitivity analysis, a local point-of-action sensitivity study, and geometric path-following and tolerance-band diagnostics. The results support ESO-based disturbance compensation combined with global integral sliding mode as an application-level control integration for the numerical evaluation of underactuated ROV trajectory tracking under the specified conditions. Accordingly, the conclusions are restricted to the specified numerical scenarios, parameter ranges, actuator settings, and evaluation metrics.

The authors' abstract, as published at the source. Scientific Reports, 2026 · DOI ↗

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Field: Aerospace Engineering

Aerospace EngineeringEngineering