Modeling and Control of Industrial ROV’s for Semi-Autonomous Subsea Maintenance Services

Christian Mai, Simon Pedersen, Leif Hansen, Kasper Lund Jepsen, Zhenyu Yang

Research output: Contribution to journalConference article in JournalResearchpeer-review

4 Citations (Scopus)
99 Downloads (Pure)

Abstract

Remotely Operated Vechicles (ROV’s) takes a big part in the installation, maintenance and inspection of offshore subsea energy activities, such as inspections of Oil & Gas and wind energy pipelines and cables. By improving the ROV automation the operational cost can be significantly decreased as well as improving the inspection quality. This study examines an industrial ROV, where the investigations include modeling of a real industrial prototype, which is then linearized and used for Linear Quadratic Regulator (LQR) development. The results are validated both based on non-linear model simulations. Furthermore, the LQR controller is compared with the existing built-in heading and depth PID controllers, where it is shown that the LQR controller both gives an improved closed-loop transient performance and rejects noise better than the built-in controller. It is concluded that the ROV prototype has an acceptable physical design but that the automation could potentially be improved by adding a MIMO control scheme such as the proposed LQR controller.
Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume50
Issue number1
Pages (from-to)13686-13691
Number of pages6
ISSN2405-8963
DOIs
Publication statusPublished - Jul 2017
Event20th IFAC World Congress - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
https://www.ifac2017.org/

Conference

Conference20th IFAC World Congress
CountryFrance
City Toulouse
Period09/07/201714/07/2017
Internet address

Fingerprint

Controllers
Inspection
Automation
MIMO systems
Wind power
Cables
Pipelines
Gases
Costs

Keywords

  • ROV
  • Modeling
  • Robotics
  • Mechatronics
  • Automation

Cite this

Mai, Christian ; Pedersen, Simon ; Hansen, Leif ; Jepsen, Kasper Lund ; Yang, Zhenyu. / Modeling and Control of Industrial ROV’s for Semi-Autonomous Subsea Maintenance Services. In: IFAC-PapersOnLine. 2017 ; Vol. 50, No. 1. pp. 13686-13691.
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title = "Modeling and Control of Industrial ROV’s for Semi-Autonomous Subsea Maintenance Services",
abstract = "Remotely Operated Vechicles (ROV’s) takes a big part in the installation, maintenance and inspection of offshore subsea energy activities, such as inspections of Oil & Gas and wind energy pipelines and cables. By improving the ROV automation the operational cost can be significantly decreased as well as improving the inspection quality. This study examines an industrial ROV, where the investigations include modeling of a real industrial prototype, which is then linearized and used for Linear Quadratic Regulator (LQR) development. The results are validated both based on non-linear model simulations. Furthermore, the LQR controller is compared with the existing built-in heading and depth PID controllers, where it is shown that the LQR controller both gives an improved closed-loop transient performance and rejects noise better than the built-in controller. It is concluded that the ROV prototype has an acceptable physical design but that the automation could potentially be improved by adding a MIMO control scheme such as the proposed LQR controller.",
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Modeling and Control of Industrial ROV’s for Semi-Autonomous Subsea Maintenance Services. / Mai, Christian; Pedersen, Simon; Hansen, Leif; Jepsen, Kasper Lund; Yang, Zhenyu.

In: IFAC-PapersOnLine, Vol. 50, No. 1, 07.2017, p. 13686-13691.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Modeling and Control of Industrial ROV’s for Semi-Autonomous Subsea Maintenance Services

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AB - Remotely Operated Vechicles (ROV’s) takes a big part in the installation, maintenance and inspection of offshore subsea energy activities, such as inspections of Oil & Gas and wind energy pipelines and cables. By improving the ROV automation the operational cost can be significantly decreased as well as improving the inspection quality. This study examines an industrial ROV, where the investigations include modeling of a real industrial prototype, which is then linearized and used for Linear Quadratic Regulator (LQR) development. The results are validated both based on non-linear model simulations. Furthermore, the LQR controller is compared with the existing built-in heading and depth PID controllers, where it is shown that the LQR controller both gives an improved closed-loop transient performance and rejects noise better than the built-in controller. It is concluded that the ROV prototype has an acceptable physical design but that the automation could potentially be improved by adding a MIMO control scheme such as the proposed LQR controller.

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