2015
DOI: 10.1016/j.ifacol.2015.10.280
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Modeling for IMU-based Online Estimation of a Ship's Mass and Center of Mass

Abstract: A ship's roll dynamics is very sensitive to changes in the loading conditions and a worst-case scenario is the loss of stability. This paper proposes an approach for online estimation of a ship's mass and center of mass. Instead of focusing on a sensor-rich environment where all possible signals on a ship can be measured and a complete model of the ship can be estimated, a minimal approach is adopted. A model of the roll dynamics is derived from a well-established model in literature and it is assumed that onl… Show more

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Cited by 4 publications
(8 citation statements)
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“…The parameter k should be thought of as representing the physical restoring properties of the ship, for instance, being dependent on factors such as the hull shape, while the term M gz g + mgz m represents the influence by the mass and its location on the restoring properties. For a thorough derivation of the model, see Linder et al (2015) or Linder (2014).…”
Section: Problem Formulationmentioning
confidence: 99%
See 4 more Smart Citations
“…The parameter k should be thought of as representing the physical restoring properties of the ship, for instance, being dependent on factors such as the hull shape, while the term M gz g + mgz m represents the influence by the mass and its location on the restoring properties. For a thorough derivation of the model, see Linder et al (2015) or Linder (2014).…”
Section: Problem Formulationmentioning
confidence: 99%
“…The issue is thatv is unknown but an alternative model can be formed by eliminatingv. The key to this elimination is the known relation between the measured tangential acceleration a s defined in (7), the acceleration a y and the signalv (Linder et al, 2015). The acceleration a y of the ship in the Earth-fixed xy-plane has two parts, firstly a contribution from the sway motion and secondly due to the angular velocity about the yaw axis.…”
Section: A Limited Sensor Approachmentioning
confidence: 99%
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