Virtual sensing in marine systems

Mikael Manngård; Wictor Lund; Jerker Björkqvist; Hannu Toivonen; Gürkan Sin; John Bagterp Jørgensen; Jakob Kjøbsted Huusom

Virtual sensing in marine systems

Mikael Manngård, Wictor Lund, Jerker Björkqvist, Hannu Toivonen, Gürkan Sin (Editor), John Bagterp Jørgensen (Editor), Jakob Kjøbsted Huusom (Editor)

Research output: Other contribution

Abstract

In this work, virtual sensing methods for estimation of unknown inputs and states of a ship propulsion system is presented. Dynamical models of the propulsion system together with indirect measurements are used to estimate torque and angular velocities at various locations of the system. A case study where a simulation model of the propulsion system of a hybrid ship is used to demonstrate the performance of the proposed methods.

Original language	Undefined/Unknown
Publication status	Published - 2019

Access to Document

https://medialib.cmcdn.dk/medialibrary/D28C00E7-DA60-4BE1-ABEE-70D05F2A8EE8/D713A031-56BF-E911-8436-00155D0B0940.pdf

Cite this

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title = "Virtual sensing in marine systems",

abstract = "In this work, virtual sensing methods for estimation of unknown inputs and states of a ship propulsion system is presented. Dynamical models of the propulsion system together with indirect measurements are used to estimate torque and angular velocities at various locations of the system. A case study where a simulation model of the propulsion system of a hybrid ship is used to demonstrate the performance of the proposed methods.",

author = "Mikael Manng{\aa}rd and Wictor Lund and Jerker Bj{\"o}rkqvist and Hannu Toivonen and G{\"u}rkan Sin and {Bagterp J{\o}rgensen}, John and {Kj{\o}bsted Huusom}, Jakob",

year = "2019",

language = "Odefinierat/ok{\"a}nt",

type = "Other",

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TY - GEN

T1 - Virtual sensing in marine systems

AU - Manngård, Mikael

AU - Lund, Wictor

AU - Björkqvist, Jerker

AU - Toivonen, Hannu

A2 - Sin, Gürkan

A2 - Bagterp Jørgensen, John

A2 - Kjøbsted Huusom, Jakob

PY - 2019

Y1 - 2019

N2 - In this work, virtual sensing methods for estimation of unknown inputs and states of a ship propulsion system is presented. Dynamical models of the propulsion system together with indirect measurements are used to estimate torque and angular velocities at various locations of the system. A case study where a simulation model of the propulsion system of a hybrid ship is used to demonstrate the performance of the proposed methods.

AB - In this work, virtual sensing methods for estimation of unknown inputs and states of a ship propulsion system is presented. Dynamical models of the propulsion system together with indirect measurements are used to estimate torque and angular velocities at various locations of the system. A case study where a simulation model of the propulsion system of a hybrid ship is used to demonstrate the performance of the proposed methods.

M3 - Övriga bidrag

ER -