A Matlab-based application for enhanced controller tuning in ArduSub ROVs: ATControlROV

Since the 20th century, underwater research has grown exponentially due to technological advances and financial support from governments and companies. Although some research initially lacks solid funding , unmanned underwater vehicles (UUVs) or underwater robots have become essential for efficient exploration. ArduSub, an open-source solution since 2017, facilitates the control of ROVs and AUVs by leveraging drone technologies. ArduPilot, initiated in 2007, has become a global benchmark in free software for unmanned vehicles. This paper introduces ATControlROV, a MATLAB-based application designed to optimize PID control parameters for ROVs built on the ArduSub platform. ATControlROV simplifies the tuning process through a structured interface, enabling users of all experience levels to achieve enhanced stability and performance in attitude control, including yaw, pitch, and roll. The application integrates empirical and model-based approaches to fine-tune inner and outer control loops, significantly improving system responsiveness to disturbances. By democratizing access to advanced control optimization tools, ATControlROV empowers researchers and practitioners to enhance the operational efficiency of underwater vehicles, fostering innovation in academic and professional applications, especially in the underwater robotics community.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-05-23
DOI
https://doi.org/10.1016/j.softx.2025.102189
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Matlab-based application for enhanced controller tuning in ArduSub ROVs: ATControlROV

Ana Isabel Vázquez Mejías, Andrés Yáñez Escolano, Guillermo Bárcena‐González, Juan Carlos de la Torre et al.
2 citations
SoftwareX
IoT-based Smart Home Systems
1.46
article

A Matlab-based application for enhanced controller tuning in ArduSub ROVs: ATControlROV

Ana Isabel Vázquez Mejías, Andrés Yáñez Escolano, Guillermo Bárcena‐González, Juan Carlos de la Torre, Mariano Marcos-Pérez
article en
2 citations

Abstract

Since the 20th century, underwater research has grown exponentially due to technological advances and financial support from governments and companies. Although some research initially lacks solid funding , unmanned underwater vehicles (UUVs) or underwater robots have become essential for efficient exploration. ArduSub, an open-source solution since 2017, facilitates the control of ROVs and AUVs by leveraging drone technologies. ArduPilot, initiated in 2007, has become a global benchmark in free software for unmanned vehicles. This paper introduces ATControlROV, a MATLAB-based application designed to optimize PID control parameters for ROVs built on the ArduSub platform. ATControlROV simplifies the tuning process through a structured interface, enabling users of all experience levels to achieve enhanced stability and performance in attitude control, including yaw, pitch, and roll. The application integrates empirical and model-based approaches to fine-tune inner and outer control loops, significantly improving system responsiveness to disturbances. By democratizing access to advanced control optimization tools, ATControlROV empowers researchers and practitioners to enhance the operational efficiency of underwater vehicles, fostering innovation in academic and professional applications, especially in the underwater robotics community.

SoftwareXVol. 31
Universidad de Cádiz (ES)
Affordable and clean energy
Openalex Percentile: Top 17%
IoT-based Smart Home Systems
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.