Ship Manoeuvring Model Parameter Identification Using Intelligent Machine Learning Method and the Beetle Antennae Search Algorithm

Chen, Changyuan; Ruiz, Manasés Tello; Lataire, Evert; Delefortrie, Guillaume; Mansuy, Marc; Mei, Tianlong; Vantorre, Marc

doi:10.1115/omae2019-95565

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Ma on postać integratora ze stałą czasową i jego współczynniki są określane na podstawie prób morskich (zwykle na otwartych wodach). Dodatkowo, śledzenie prostoliniowego fragmentu trasy, inaczej ścieżki pomiędzy dwoma zadanymi punktami na mapie, można realizować w układzie kaskadowym [4,5] z regulatorem nadrzędnym (także PID) wyznaczającym zadany kurs dla regulatora podrzędnego (również PID).…”

Section: Wprowadzenieunclassified

Tuning the Heading Controller for the Ship’s Autopilot

Świder

2024

PAR

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Selected methods of PID settings for the heading controller in the ship’s autopilot are presented. The consistency of the design is possible due to the fact that the Nomoto model was used for the ship and thanks to the elimination of the time constant of the object by the controller, so that the closed system becomes a 2nd order system. In two cases, it was additionally assumed that the system is to have a double time constant, differing in a given ratio r from the time constant of the object. It has been shown that the heading controller designed in this way provides critical aperiodic waveforms at a step change in the setpoint value and suppresses environmental disturbances better than standardly tuned controllers.

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Section: Wprowadzenieunclassified

Tuning the Heading Controller for the Ship’s Autopilot

Świder

2024

PAR

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“…Li et al employed basic BAS algorithm to optimize the proposed model in the energy scheduling problem, and energy costs are reduced through their proposed method [25]. Chen et al invented a NLSSVM (Nonlinear Least Squares Support Vector Machine)-BAS algorithm, which can optimize the parameters in the radial basis function by using basic BAS algorithm [26]. This new nonlinear least squares support vector machine algorithm performes well in the parameter identification of ship model.…”

Section: − →mentioning

confidence: 99%

In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm

Wang

Gao

et al. 2020

Sensors

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Traditional calibration method is usually performed with expensive equipments such as three-axis turntable in a laboratory environment. However in practice, in order to ensure the accuracy and stability of the inertial navigation system (INS), it is usually necessary to recalibrate the inertial measurement unit (IMU) without external equipment in the field. In this paper, a new in-field recalibration method for triaxial accelerometer based on beetle swarm antenna search (BSAS) algorithm is proposed. Firstly, as a new intelligent optimization algorithm, BSAS algorithm and its improvements based on basic beetle antennae search (BAS) algorithm are introduced in detail. Secondly, the nonlinear mathematical model of triaxial accelerometer is established for higher calibration accuracy, and then 24 optimal measurement positions are designed by theoretical analysis. In addition, the calibration procedures are improved according to the characteristics of BSAS algorithm, then 15 calibration parameters in the nonlinear method are optimized by BSAS algorithm. Besides, the results of BSAS algorithm and basic BAS algorithm are compared by simulation, which shows the priority of BSAS algorithm in calibration field. Finally, two experiments demonstrate that the proposed method can achieve high precision in-field calibration without any external equipment, and meet the accuracy requirements of the INS.

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“…The stability monitoring system estimated the GM of fishing vessels using the measured roll angle [28]. Chen et al [29] used a machine-learning algorithm to efficiently detect the unknown parameters of a ship motion model. The elliptic Fourier descriptors from the unusual pattern recognition and classification problems were introduced for assessing wind loads on marine structures [30].…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Simply Evaluating the Safety of a Passenger Ship Stability Using the Index for the Intact Stability Appraisal Module

Woo

2022

Sensors

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To evaluate the safety of passenger ships’ stability, ten stability parameters should be calculated. However, since the process for calculating all stability parameters is complex without a ship loading program, a convenient methodology to simply calculate them and evaluate the safety condition of a passenger ship is required to alert the hazard to a captain, officer, and crew. The Index for Passenger Ship Intact Stability Appraisal Module (IPSAM) is proposed herein. According to the value of a passenger ship’s metacentric height (GM) which could be calculated by the ship’s roll period measured by sensors in real-time, IPSAM simply calculates nine intact stability parameters except for AnglemaxGZ and proposes the present stability status as a Single Intact Stability Index (SISI). It helps crews easily recognize the safety of passenger ships’ stability as a decision support system in real-time. Based on the intact stability parameters of 331 loading conditions of 11 passenger ships, empirical formulas for IPSAM were derived. To verify the empirical formulas of IPSAM, the stability parameters of a passenger ship in 20 loading conditions were calculated using proposed empirical formulas and the principal calculation methods respectively, then compared. Additionally, the result of the SISI of 20 loading conditions successfully indicates the danger as the value of the SISI under 1.0 of the three loading conditions that do not satisfy the IMO intact stability requirements.

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Ship Manoeuvring Model Parameter Identification Using Intelligent Machine Learning Method and the Beetle Antennae Search Algorithm

Cited by 5 publications

References 11 publications

Tuning the Heading Controller for the Ship’s Autopilot

Tuning the Heading Controller for the Ship’s Autopilot

In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm

A Methodology for Simply Evaluating the Safety of a Passenger Ship Stability Using the Index for the Intact Stability Appraisal Module

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