2016
DOI: 10.1109/joe.2016.2518256
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Robust Steering Autopilot Design for Marine Surface Vessels

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Cited by 39 publications
(24 citation statements)
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“…The environmental disturbances caused by waves, winds, and currents are broadly classified into high‐ and low‐frequency disturbances, which are created by the first‐order wave‐induced motions and slow‐varying wind, currents, second‐order wave‐induced motions, respectively . Assuming that the wave can be represented in terms of the Gaussian random process and that the spectrum is narrowbanded, a linear approximation to the spectral density function can be modeled by y(s)θ(s)=Kωss2+2ζωes+ωe2, where y ( s ) represents the wave motion, θ ( s ) is a zero mean Gaussian white noise process, ζ is the relative damping ratio of waves, and ω e is the encounter wave frequency given by ωe=ω0usans-serifgω02cos(β). The quantity ω 0 denotes the dominant wave frequency, u is the ship speed, β is the angle between the heading and the direction of the wave, and K ω =2 ζ ω e σ ω is a gain that is dependent on the wave energy in which σ ω is the constant describing the wave intensity.…”
Section: Simulation Studymentioning
confidence: 99%
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“…The environmental disturbances caused by waves, winds, and currents are broadly classified into high‐ and low‐frequency disturbances, which are created by the first‐order wave‐induced motions and slow‐varying wind, currents, second‐order wave‐induced motions, respectively . Assuming that the wave can be represented in terms of the Gaussian random process and that the spectrum is narrowbanded, a linear approximation to the spectral density function can be modeled by y(s)θ(s)=Kωss2+2ζωes+ωe2, where y ( s ) represents the wave motion, θ ( s ) is a zero mean Gaussian white noise process, ζ is the relative damping ratio of waves, and ω e is the encounter wave frequency given by ωe=ω0usans-serifgω02cos(β). The quantity ω 0 denotes the dominant wave frequency, u is the ship speed, β is the angle between the heading and the direction of the wave, and K ω =2 ζ ω e σ ω is a gain that is dependent on the wave energy in which σ ω is the constant describing the wave intensity.…”
Section: Simulation Studymentioning
confidence: 99%
“…Assuming that the wave can be represented in terms of the Gaussian random process and that the spectrum is narrowbanded, a linear approximation to the spectral density function can be modeled by y(s)θ(s)=Kωss2+2ζωes+ωe2, where y ( s ) represents the wave motion, θ ( s ) is a zero mean Gaussian white noise process, ζ is the relative damping ratio of waves, and ω e is the encounter wave frequency given by ωe=ω0usans-serifgω02cos(β). The quantity ω 0 denotes the dominant wave frequency, u is the ship speed, β is the angle between the heading and the direction of the wave, and K ω =2 ζ ω e σ ω is a gain that is dependent on the wave energy in which σ ω is the constant describing the wave intensity. Since most of the energy in the wave spectrum is located around the modal frequency, a second‐order bandstop filter such as trueyfalse(sfalse)yfalse(sfalse)=false(sfalse/ωnfalse)2+2ζffalse(sfalse/ωnfalse)+1false(1+T1sfalse)false(1+T2sfalse),2.56804pt1false/T1<ωn<1false/T2 is utilized to attenuate the high‐frequency wave motion, where trueyfalse(sfalse) represents the attenuated wave motion, ζ f is the damping factor, and ω n is the natural frequency of the filter. The filter will attenuate wave disturbance in the frequency range of 1/ T 1 to 1/ T 2 .…”
Section: Simulation Studymentioning
confidence: 99%
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“…The authors of paper [18] suggest an approach based on the extended state observer (ESO) technique for controlling the ship yaw. The reliability of the autopilot is ensured by the fact that the level of external influences on the vessel is estimated using ESO, which also evaluates the parameters of the controller.…”
Section: Introductionmentioning
confidence: 99%