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Ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolutionary algorithm

A multi-objective evolution and motion parameter technology, which is applied in computing, electrical digital data processing, design optimization/simulation, etc., can solve problems such as complex operation, low precision, and mutual influence of parameters

Active Publication Date: 2019-01-25
HARBIN ENG UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] To sum up, there are many problems in the existing technology, such as too many experiments, too many parameters, high coupling degree between parameters, mutual influence between parameters, too complicated operation, and low precision.

Method used

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  • Ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolutionary algorithm
  • Ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolutionary algorithm
  • Ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolutionary algorithm

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specific Embodiment approach

[0129] The parameters of the HD702 boat involved in the experiment: the mass of the hull is m=442000kg, the breadth of the ship is B=7.2m, the draft is 2.25m, the length of the waterline is Lpp=60m, I 5 =(0.25*Lpp) m=99450000(kg m 2 ), X R =25.8m, Z R = 1.32m, the number of rudders is n = 2, the hydrostatic restoring force coefficient C 44 =3370000. The basic parameters of the algorithm are set as follows:. The three-dimensional measurement noise V is Gaussian white noise with a mean value of zero, and the noise disturbance variance matrix can be taken as Qvv=diag[2.03*10 for a sensor with a first-level precision -6 2.25*10 -7 2.25*10 -7 ]. The sampling time is 40 seconds, the sampling interval is 0.2 seconds, and the multi-objective function is shown in formula (10), N=200.

[0130] Input: For a sample of wave disturbance forces and moments see figure 2 shown.

[0131] Observations:

[0132] Swing observations see Figure 5 Shown in the middle blue curve (data c...

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Abstract

The invention belongs to the two major fields of ship motion parameter identification and evolutionary computation, in particular to a ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolutionary algorithm. The method comprises the following steps of: establishing a state equation and an observation equation model according to a differential equation of lateral three-degree-of-freedom motion of the ship; according to the experimental data, establishing the model of disturbance force and disturbance moment,with taking Manhattan distance asthe criterion, evaluating the error between the observed value and the output value of the model, and establishing the multi-objective output model of ship lateral motion, optimizing the multi-objective optimization function of ship lateral motion by evolutionary algorithm, and giving the optimal pareto front, selecting the parameter corresponding to a point from the front surface as the output optimal parameter. There is no need to consider the weighting factors between the motions of degrees of freedom. A series of non-dominant solutions can be obtained, and the most suitable set of transverse hydrodynamic parameters can be selected from these solutions according to customer preferences. The experimental data are few, the efficiency is high and the error is small.

Description

technical field [0001] The invention belongs to the two fields of ship motion parameter identification and evolution calculation, and in particular relates to a ship lateral three-degree-of-freedom motion parameter identification method based on a multi-objective evolution algorithm. Background technique [0002] When a ship sails at sea or performs combat missions, it will inevitably be disturbed by the ocean environment such as waves, sea winds, and currents, and it will inevitably produce swaying motions. This swaying motion includes roll, pitch, yaw, sway, Surge, heave (or heave). The ship motion model describes the response characteristics of the ship to the control input (rudder angle) during the motion process. With the development of maritime transportation, the research on the ship motion model is becoming more and more important. Understanding and mastering the ship motion model is the key to maneuvering and controlling the ship. It is also the basis for studying ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20Y02T90/00
Inventor 戴运桃刘利强姚新程然
Owner HARBIN ENG UNIV
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