22nd Mediterranean Conference on Control and Automation 2014
DOI: 10.1109/med.2014.6961564
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Nonlinear observer with time-varying gains for inertial navigation aided by satellite reference systems in dynamic positioning

Abstract: Abstract-The measurement quality of Global Navigation Satellites Systems (GNSS) during marine operations will vary over time. Inherently, GNSS quality changes should be handled when GNSS is utilized as aid in inertial navigation systems. In this paper we present an observer for estimating position, velocity and attitude with time-varying gains for highperformance sensor fusion based on GNSS quality and other quality indicators. The origin of the error dynamics is proven to be uniformly semiglobal exponentially… Show more

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Cited by 20 publications
(32 citation statements)
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References 16 publications
(35 reference statements)
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“…Because of the slow dynamics of DP vessels, this will not affect the performance of Σ 1 even though the stability analyses of Bryne et al [15] and the reference therein requires two vector measurements. The quaternion unity constraint was enforced withq n b =q n b / q n b after every quaternion update.…”
Section: Methodsmentioning
confidence: 99%
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“…Because of the slow dynamics of DP vessels, this will not affect the performance of Σ 1 even though the stability analyses of Bryne et al [15] and the reference therein requires two vector measurements. The quaternion unity constraint was enforced withq n b =q n b / q n b after every quaternion update.…”
Section: Methodsmentioning
confidence: 99%
“…where (1)- (5) are obtained from Bryne et al [15], extending the formulation in Grip et al [16] with the integral of the vertical heave position, p n z , denoted p n I which is an auxiliary variable defined in order to utilize a virtual vertical reference (VVR) aiding measurement presented in Section 2.4. The strapdown equations applied in this paper are suitable for marine surface vessels employing local navigation.…”
Section: Kinematic Strapdown Equationsmentioning
confidence: 99%
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“…The reader is referred to Fossen and Strand (1999), Fossen (2011) for details on the model-based observer, and to Grip et al (2012), Grip et al (2013), Bryne et al (2014), and Bryne et al (2015) for details on the signal-based observer.…”
Section: Observers Used In Dynamic Positioningmentioning
confidence: 99%