CN107330164A - A kind of trimaran lengthwise movement identification Method - Google Patents

A kind of trimaran lengthwise movement identification Method Download PDF

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CN107330164A
CN107330164A CN201710442423.2A CN201710442423A CN107330164A CN 107330164 A CN107330164 A CN 107330164A CN 201710442423 A CN201710442423 A CN 201710442423A CN 107330164 A CN107330164 A CN 107330164A
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CN107330164B (en
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朱齐丹
刘娜
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Harbin Engineering University
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Abstract

The present invention devises a kind of trimaran lengthwise movement identification Method, is based primarily upon the motion model of stress model of the trimaran of genetic algorithm under wave effect and the trimaran based on equation decoupling under power effect.The wave force and wave torque obtained according to trimaran towing tank test, stress model of the trimaran under wave effect is gone out using Identification of Genetic Algorithm.Additional mass, the damped coefficient obtained according to trimaran towing tank test, recovery coefficient, heave quality and pitching moment of inertia, carry out decoupled identification by ship dynamics equation and go out motion model of the trimaran under power effect.The present invention proposes a kind of discrimination method based on intelligent algorithm, suitable for analyzing the trimaran motion conditions under complicated sea situation, it is widely used among the antipitching control of ship, the rapidity of algorithm and the intelligent trimaran model for ensureing to obtain also can accurately estimate real motion situation at a high speed under complicated sea situation.

Description

A kind of trimaran lengthwise movement identification Method
Technical field
The present invention relates to a kind of trimaran lengthwise movement identification Method, the modeling method of navigational field is particularly belonged to.
Background technology
From the second half in 20th century, various types of ships emerge and come into operation one after another, and its speed of a ship or plane and size are in increasing Long trend.The overall width of multi-hull ship is larger, therefore with very big floor space and very high stability, and obtained extensive Using.Its most of the time is all run at high speeds for high speed multi-hull ship, when shipping high speed is navigated by water heave and The amplitude of two amounts of exercise of pitching is significantly increased, the influence caused compared to heave and pitching for ship's navigation, other The motion influence in direction can be ignored.So the principal element of influence high-speed boat navigation is heave movement and pitching fortune Dynamic, both motions may be collectively referred to as the lengthwise movement of high-speed boat again.
Trimaran lengthwise movement model is mainly made up of two parts, and Part I is stress mould of the hull under wave effect Type, including two transmission functions, it is the unrestrained high of wave that it, which is inputted, and output is wave force and wave torque respectively;Part II is Motion model of the hull under power effect, including four transmission functions, are transformed into heave amount, by wave torque by wave force respectively Heave amount is transformed into, wave force is transformed into pitching amount, wave torque is transformed into pitching amount.Two class models are with two kinds of differences Discrimination method, with traditional discrimination method such as nonlinear least square method, hunting zone is smaller, and Model Distinguish error is larger, Precision is not high.This inaccurate identification deviation can cause the controller designed accordingly to fail, and unfavorable shadow is produced to practical application Ring.Therefore accurate recognition trimaran lengthwise movement model is urgent problem to be solved, it is necessary to solved using advanced identification technique Certainly.
Proposed according to nonlinear least square method of the document high speed ship model under constraints a kind of based on non-thread The high-speed craft identification Method of property least square method, but deficiency is that traditional least square method hunting zone is smaller, causes mould Type Identification Errors are larger.The method that the present invention is designed solves trimaran lengthwise movement identification problems of model, by trimaran longitudinal direction Motion model point two parts consider that reduction identification difficulty increases the degree of accuracy of identification.
The content of the invention
It is an object of the invention to devise a kind of trimaran lengthwise movement identification Method, complicated ocean ring is simulated The motion conditions of trimaran under border, are that the design of subsequent vessels pitching stabilization controller provides the foundation.
The present invention is achieved by the following technical solutions, specifically includes following steps:
(1) wave force and the amplitude and phase of wave torque being fixed from the towing trial of trimaran pond under the speed of a ship or plane Position;
(2) wave force and the amplitude and phase of wave torque obtained trimaran pond towing trial becomes as input Amount;The order of transmission function molecule denominator is determined, molecule order is less than or equal to denominator order;According to the genetic algorithm journey write Sequence picks out stress model of the trimaran under wave effect, is made up of two transmission functions;
(3) under heave quality, pitching moment of inertia, the fixed speed of a ship or plane that trimaran is obtained from the towing trial of trimaran pond Additional mass, damped coefficient and recovery coefficient;
(4) equation of motion of hull is decoupled, changes into state equation form;
(5) will be additional under the heave quality obtained in the towing trial of trimaran pond, pitching moment of inertia, the fixed speed of a ship or plane Quality, damped coefficient and recovery coefficient obtain four biographies under the fixed speed of a ship or plane according to the state equation of solution decoupling as input The motion model of delivery function, as hull under power effect.
Specific genetic algorithmic steps in described step (2) are as follows:
(2.1) transfer function model to be estimated is obtained, the Parameter Estimation Problem of transmission function is exactly by dragging in frequency domain The frequency response or Bode diagram of draging the transmission function obtained in basin test obtain the transmission of fixed zero pole point number to be estimated The problem of function, the lengthwise movement model under frequency domain is as follows:
In formula:B (s, θ) and A (s, θ) is two transmission functions.
(2.2) to identification mode of the model using parametrization, parameter vector θ is estimated by experimental data, θ is defined as:
θ=(bm+1,bm,bm-1,…,b1,an,an-1,…,a1);
(2.3) corresponding cost function is obtained by each group of parameter vector θ, corresponding cost function is:
In formula:|G(jωi) | it is the amplitude of experimental data Wave power (wave torque);arg(G(jωi)) it is experiment number According to the phase of Wave power (wave torque);|G(jωi, θ) | for the transmission function amplitude picked out;arg(G(jωi, θ)) be The phase of the transmission function picked out;
(2.4) in order that model is optimal, it is necessary to repeatedly be selected, intersected, made a variation, finally giving makes transmission function Amplitude and phase and towing tank test in the minimum one group of parameter vector of obtained data relative error, so as to pick out most Stress model of the whole ship under wave effect.
It is as follows shown in the equation of motion of hull in described step (4):
In formula:x3For heave amount, x5For pitching amount, m33For heave quality, m55For pitching moment of inertia, aijFor additional matter Amount, bijFor damped coefficient, cijFor recovery coefficient, ω is input Ocean-wave Signal, FiThe power acted on for Ocean-wave Signal on hull, γiThe phase acted on for Ocean-wave Signal on hull.
A kind of described trimaran lengthwise movement identification Method, trimaran lengthwise movement model is main by two parts group Stress model of the hull under wave effect into, Part I, including two transmission functions, its input be wave wave it is high, Output is wave force and wave torque respectively;The motion model that Part II is hull under power effect, including four transmission letters Number, is transformed into heave amount by wave force respectively, wave torque is transformed into heave amount, wave force is transformed into pitching amount, by ripple Unrestrained torque is transformed into pitching amount.
A kind of described trimaran lengthwise movement identification Method, can be fast after pond towing trial data are obtained Speed picks out trimaran lengthwise movement model exactly.
The present invention is directed to the identification problems of model of trimaran, proposes a kind of discrimination method based on intelligent algorithm, can enter In the case of row trimaran towing tank test, it is according to the wave force obtained under frequency domain, wave torque, additional mass, damping Number, recovery coefficient, heave quality and pitching moment of inertia calculate six transmission functions to be identified, so as to obtain and real system The trimaran lengthwise movement model matched.Application process of the present invention can be divided into two stages:First, pull and try by pond Test obtained volume of data and pass through simple data analysis and fitting, preserve in a computer;Second, call what is finished in advance Program picks out the parameter of system model, and this algorithm is innovated on the basis of frequency-domain analysis and got.
The beneficial effects of the present invention are:
The present invention devise it is a kind of be applied to the trimaran motion conditions under complicated sea situation are analyzed, can extensive use Among to the antipitching control of ship, the rapidity of algorithm and the intelligent trimaran model for ensureing to obtain are multiple in high speed Also real motion situation can be accurately estimated under miscellaneous sea situation.
Brief description of the drawings
Fig. 1 is flow chart of the present invention;
Fig. 2 is Model Distinguish composition frame chart of the present invention;
Fig. 3 is stress model identification algorithm flow chart of the hull under wave effect in the present invention;
Fig. 4 is trimaran in embodiment wave force and the datagram of wave torque under the 40 section speed of a ship or plane;
Fig. 5 is the comparison diagram between the wave force that the model emulation picked out in embodiment is obtained and real data;
Fig. 6 is the comparison diagram between the wave torque and real data that the model emulation picked out in embodiment is obtained.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail:The present embodiment using technical solution of the present invention as Under the premise of implemented, give detailed embodiment, but protection scope of the present invention is not limited to following implementations.
The present invention devises a kind of trimaran lengthwise movement identification Method, including the trimaran based on genetic algorithm exists The motion model of stress model under wave effect and the trimaran based on equation decoupling under power effect.Pulled according to trimaran Wave force and wave torque that basin test is obtained, stress mould of the trimaran under wave effect is gone out using Identification of Genetic Algorithm Type.Additional mass, the damped coefficient obtained according to trimaran towing tank test, recovery coefficient, heave quality and pitching inertia Torque, carries out decoupled identification by ship dynamics equation and goes out motion model of the trimaran under power effect.The present invention is directed to three bodies The identification problems of model of ship, proposes a kind of discrimination method based on intelligent algorithm, can carry out trimaran towing tank test In the case of, according to the wave force obtained under frequency domain, wave torque, additional mass, damped coefficient, recovery coefficient, heave quality and Pitching moment of inertia calculates six transmission functions to be identified, so as to obtain the trimaran lengthwise movement matched with real system Model.The present invention is applied to analyze the trimaran motion conditions under complicated sea situation, can be widely applied to subtract vertical to ship Among the control shaken, the rapidity of algorithm and the intelligent trimaran model for ensureing to obtain also can at a high speed under complicated sea situation Accurately estimate real motion situation.
With reference to shown in Fig. 1, the present invention is achieved by the following technical solutions, specifically includes following steps:
(1) wave force and the amplitude and phase of wave torque being fixed from the towing trial of trimaran pond under the speed of a ship or plane Position;
(2) wave force and the amplitude and phase of wave torque obtained trimaran pond towing trial becomes as input Amount;The order of transmission function molecule denominator is determined, molecule order is less than or equal to denominator order;According to the genetic algorithm journey write Sequence picks out stress model of the trimaran under wave effect, is made up of two transmission functions;
(3) under heave quality, pitching moment of inertia, the fixed speed of a ship or plane that trimaran is obtained from the towing trial of trimaran pond Additional mass, damped coefficient and recovery coefficient;
(4) equation of motion of hull is decoupled, changes into state equation form;
(5) will be additional under the heave quality obtained in the towing trial of trimaran pond, pitching moment of inertia, the fixed speed of a ship or plane Quality, damped coefficient and recovery coefficient obtain four biographies under the fixed speed of a ship or plane according to the state equation of solution decoupling as input The motion model of delivery function, as hull under power effect.
Specific genetic algorithmic steps in described step (2) are as follows:
(2.1) transfer function model to be estimated is obtained, the Parameter Estimation Problem of transmission function is exactly by dragging in frequency domain The frequency response or Bode diagram of draging the transmission function obtained in basin test obtain the transmission of fixed zero pole point number to be estimated The problem of function, the lengthwise movement model under frequency domain is as follows:
In formula:B (s, θ) and A (s, θ) is two transmission functions.
(2.2) to identification mode of the model using parametrization, parameter vector θ is estimated by experimental data, θ is defined as:
θ=(bm+1,bm,bm-1,…,b1,an,an-1,…,a1);
(2.3) corresponding cost function is obtained by each group of parameter vector θ, corresponding cost function is:
In formula:|G(jωi) | it is the amplitude of experimental data Wave power (wave torque);arg(G(jωi)) it is experiment number According to the phase of Wave power (wave torque);|G(jωi, θ) | for the transmission function amplitude picked out;arg(G(jωi, θ)) be The phase of the transmission function picked out;
(2.4) in order that model is optimal, it is necessary to repeatedly be selected, intersected, made a variation, finally giving makes transmission function Amplitude and phase and towing tank test in the minimum one group of parameter vector of obtained data relative error, so as to pick out most Stress model of the whole ship under wave effect.
It is as follows shown in the equation of motion of hull in described step (4):
In formula:x3For heave amount, x5For pitching amount, m33For heave quality, m55For pitching moment of inertia, aijFor additional matter Amount, bijFor damped coefficient, cijFor recovery coefficient, ω is input Ocean-wave Signal, FiThe power acted on for Ocean-wave Signal on hull, γiThe phase acted on for Ocean-wave Signal on hull.
A kind of described trimaran lengthwise movement identification Method, can be fast after pond towing trial data are obtained Speed picks out trimaran lengthwise movement model exactly.
The present invention devise it is a kind of be applied to the trimaran motion conditions under complicated sea situation are analyzed, can extensive use Among to the antipitching control of ship, the rapidity of algorithm and the intelligent trimaran model for ensureing to obtain are multiple in high speed Also real motion situation can be accurately estimated under miscellaneous sea situation.
Embodiment 1
Using certain trimaran as research object, the lengthwise movement model under frequency domain is as follows:
A kind of trimaran lengthwise movement identification Method designed according to the present invention, specifically includes following steps:
The first step, composition frame chart with reference to shown in Fig. 2 sets up a trimaran lengthwise movement model identification system, and by water In deposit computer shown in the experimental data combination Fig. 4 of the trimaran that pond towing trial is obtained under the 40 section speed of a ship or plane.Fig. 4 is three bodies Wave force and wave torque datagram of the ship under the 40 section speed of a ship or plane, wherein F3Represent wave force, F5Represent wave torque.
Second step, by with reference to the data input in Fig. 4 into the genetic algorithm program write with reference to shown in Fig. 3, it is right Genetic algorithm parameter sets as follows:
Selection mode uses roulette selection, crossover probability 0.8, mutation probability 0.008, maximum iterative times 500, individual Length 30, generation gap 0.9.The initial population generated at random, by selection, intersection, variation, obtaining one group obtains fitness function The parametric variable of minimum value, so as to pick out stress model of the hull under wave effect.
With reference to shown in Fig. 2, above formula is stress model of two hulls under wave effect, respectively changes into Ocean-wave Signal Wave force, wave torque is changed into by Ocean-wave Signal.
Additional mass under 3rd step, input heave quality, pitching moment of inertia and the 40 section speed of a ship or plane, damped coefficient is extensive Complex coefficient is into computer.Specific data are as follows:
Wherein input heave quality is m33=43.14kg;Pitching moment of inertia is m55=28.09kg*m*m;The 40 section speed of a ship or plane Under additional mass be a33=165.73kg, a35=-7.29kg*m, a53=35.67kg*m, a55=708.04kg*m*m;Damping Coefficient b33=16.91kg/s, b35=894.32kg*m/s, b53=-257.51kg*m/s, b55=144.69kg*m*m/s;Recover Coefficient is c33=6450.14N/m, c35=1080.10N, c53=1080.10N, c53=3920.70N*m.
4th step:The equation of motion of hull is decoupled, state equation form, the motion side of the hull is changed into It is as follows shown in formula:
5th step:By the additional mass obtained in the towing trial of trimaran pond under the 40 section speed of a ship or plane speed of a ship or plane, damped coefficient and Recovery coefficient obtains four transmission functions under the 40 section speed of a ship or plane according to the state equation of solution decoupling as input, and as hull exists Motion model under power effect.
With reference to shown in Fig. 2, above formula is motion model of four hulls under power effect, and wave force is transformed into heave respectively Amount, is transformed into heave amount by wave torque, wave force is transformed into pitching amount, wave torque is transformed into pitching amount.
It is pair between the wave force and real data that the model emulation picked out in the present embodiment is obtained with reference to shown in Fig. 5 Than figure, wherein Magnitude and Phase represent the amplitude and phase of wave force respectively.It is to distinguish in the present embodiment with reference to shown in Fig. 6 Know the comparison diagram between the wave torque and real data that the model emulation obtains, wherein Magnitude and Phase difference tables The amplitude and phase of oscillography wave torque.
Described above is the accurate identification effect that one embodiment that the present invention is provided is shown.It may be noted that this hair Bright to be not limited solely to above-described embodiment, the present invention is directed to trimaran lengthwise movement identification Method, so suitable for the various speed of a ship or plane Trimaran lengthwise movement Model Distinguish under various sea situations.

Claims (5)

1. a kind of trimaran lengthwise movement identification Method, it is characterised in that specifically include following steps:
(1) wave force and the amplitude and phase of wave torque being fixed from the towing trial of trimaran pond under the speed of a ship or plane;
(2) wave force and the amplitude and phase of wave torque obtained trimaran pond towing trial is used as input variable;Really Determine the order of transmission function molecule denominator, molecule order is less than or equal to denominator order;Genetic algorithm program according to writing is distinguished Know the stress model for trimaran under wave effect, be made up of two transmission functions;
(3) obtain attached under the heave quality, pitching moment of inertia, the fixed speed of a ship or plane of trimaran from the towing trial of trimaran pond Plus quality, damped coefficient and recovery coefficient;
(4) equation of motion of hull is decoupled, changes into state equation form;
(5) by the additional matter under the heave quality obtained in the towing trial of trimaran pond, pitching moment of inertia, the fixed speed of a ship or plane Amount, damped coefficient and recovery coefficient obtain four transmission under the fixed speed of a ship or plane according to the state equation of solution decoupling as input The motion model of function, as hull under power effect.
2. a kind of trimaran lengthwise movement identification Method according to claim 1, it is characterised in that described step (2) the specific genetic algorithmic steps in are as follows:
(2.1) transfer function model to be estimated is obtained, the Parameter Estimation Problem of transmission function is exactly by towing water in frequency domain The frequency response of the transmission function obtained in the experiment of pond or Bode diagram obtain the transmission function of fixed zero pole point number to be estimated The problem of, the lengthwise movement model under frequency domain is as follows:
<mrow> <mi>G</mi> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mi>B</mi> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mi>A</mi> <mrow> <mo>(</mo> <mi>s</mi> <mo>,</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <msub> <mi>b</mi> <mrow> <mi>m</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <msup> <mi>s</mi> <mi>m</mi> </msup> <mo>+</mo> <msub> <mi>b</mi> <mi>m</mi> </msub> <msup> <mi>s</mi> <mrow> <mi>m</mi> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mo>+</mo> <mn>...</mn> <mo>+</mo> <msub> <mi>b</mi> <mn>1</mn> </msub> </mrow> <mrow> <msup> <mi>s</mi> <mi>n</mi> </msup> <mo>+</mo> <msub> <mi>a</mi> <mi>n</mi> </msub> <msup> <mi>s</mi> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mo>+</mo> <mn>...</mn> <mo>+</mo> <msub> <mi>a</mi> <mn>1</mn> </msub> </mrow> </mfrac> <mo>;</mo> </mrow>
In formula:B (s, θ) and A (s, θ) is two transmission functions;
(2.2) to identification mode of the model using parametrization, parameter vector θ is estimated by experimental data, θ is defined as:
θ=(bm+1,bm,bm-1,…,b1,an,an-1,…,a1);
(2.3) corresponding cost function is obtained by each group of parameter vector θ, corresponding cost function is:
<mrow> <mi>J</mi> <mrow> <mo>(</mo> <mi>&amp;theta;</mi> <mo>)</mo> </mrow> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mrow> <msup> <mrow> <mo>(</mo> <mo>|</mo> <mi>G</mi> <mo>(</mo> <mrow> <msub> <mi>j&amp;omega;</mi> <mi>i</mi> </msub> </mrow> <mo>)</mo> <mo>|</mo> <mo>-</mo> <mo>|</mo> <mi>G</mi> <mo>(</mo> <mrow> <msub> <mi>j&amp;omega;</mi> <mi>i</mi> </msub> <mo>,</mo> <mi>&amp;theta;</mi> </mrow> <mo>)</mo> <mo>|</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <msup> <mrow> <mo>(</mo> <mi>arg</mi> <mo>(</mo> <mrow> <mi>G</mi> <mrow> <mo>(</mo> <mrow> <msub> <mi>j&amp;omega;</mi> <mi>i</mi> </msub> </mrow> <mo>)</mo> </mrow> </mrow> <mo>)</mo> <mo>-</mo> <mi>arg</mi> <mo>(</mo> <mrow> <mi>G</mi> <mrow> <mo>(</mo> <mrow> <msub> <mi>j&amp;omega;</mi> <mi>i</mi> </msub> <mo>,</mo> <mi>&amp;theta;</mi> </mrow> <mo>)</mo> </mrow> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>
In formula:|G(jωi) | it is the amplitude of experimental data Wave power (wave torque);arg(G(jωi)) in experimental data The phase of wave force (wave torque);|G(jωi, θ) | for the transmission function amplitude picked out;arg(G(jωi, θ)) it is identification The phase of the transmission function gone out;
(2.4) in order that model is optimal, it is necessary to repeatedly be selected, intersected, made a variation, finally giving makes the width of transmission function Value and phase and one group of parameter vector of the data relative error minimum obtained in towing tank test, so as to pick out final Stress model of the ship under wave effect.
3. a kind of trimaran lengthwise movement identification Method according to claim 1, it is characterised in that described step (4) it is as follows shown in the equation of motion of the hull in:
<mrow> <mtable> <mtr> <mtd> <mrow> <mo>(</mo> <msub> <mi>m</mi> <mn>33</mn> </msub> <mo>+</mo> <msub> <mi>a</mi> <mn>33</mn> </msub> <mo>)</mo> <mover> <msub> <mi>x</mi> <mn>3</mn> </msub> <mrow> <mo>&amp;CenterDot;</mo> <mo>&amp;CenterDot;</mo> </mrow> </mover> <mo>+</mo> <msub> <mi>b</mi> <mn>33</mn> </msub> <mover> <msub> <mi>x</mi> <mn>3</mn> </msub> <mo>&amp;CenterDot;</mo> </mover> <mo>+</mo> <msub> <mi>c</mi> <mn>33</mn> </msub> <msub> <mi>x</mi> <mn>3</mn> </msub> <mo>+</mo> <msub> <mi>a</mi> <mn>35</mn> </msub> <mover> <msub> <mi>x</mi> <mn>5</mn> </msub> <mrow> <mo>&amp;CenterDot;</mo> <mo>&amp;CenterDot;</mo> </mrow> </mover> <mo>+</mo> <msub> <mi>b</mi> <mn>35</mn> </msub> <mover> <msub> <mi>x</mi> <mn>5</mn> </msub> <mo>&amp;CenterDot;</mo> </mover> <mo>+</mo> <msub> <mi>c</mi> <mn>35</mn> </msub> <msub> <mi>x</mi> <mn>5</mn> </msub> <mo>=</mo> <msub> <mi>F</mi> <mn>3</mn> </msub> <msub> <mi>&amp;gamma;</mi> <mn>3</mn> </msub> <mo>(</mo> <mi>&amp;omega;</mi> <mo>)</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>(</mo> <msub> <mi>m</mi> <mn>55</mn> </msub> <mo>+</mo> <msub> <mi>a</mi> <mn>55</mn> </msub> <mo>)</mo> <mover> <msub> <mi>x</mi> <mn>5</mn> </msub> <mrow> <mo>&amp;CenterDot;</mo> <mo>&amp;CenterDot;</mo> </mrow> </mover> <mo>+</mo> <msub> <mi>b</mi> <mn>55</mn> </msub> <mover> <msub> <mi>x</mi> <mn>5</mn> </msub> <mo>&amp;CenterDot;</mo> </mover> <mo>+</mo> <msub> <mi>c</mi> <mn>55</mn> </msub> <msub> <mi>x</mi> <mn>5</mn> </msub> <mo>+</mo> <msub> <mi>a</mi> <mn>53</mn> </msub> <mover> <msub> <mi>x</mi> <mn>3</mn> </msub> <mrow> <mo>&amp;CenterDot;</mo> <mo>&amp;CenterDot;</mo> </mrow> </mover> <mo>+</mo> <msub> <mi>b</mi> <mn>53</mn> </msub> <mover> <msub> <mi>x</mi> <mn>3</mn> </msub> <mo>&amp;CenterDot;</mo> </mover> <mo>+</mo> <msub> <mi>c</mi> <mn>53</mn> </msub> <msub> <mi>x</mi> <mn>3</mn> </msub> <mo>=</mo> <msub> <mi>F</mi> <mn>5</mn> </msub> <msub> <mi>&amp;gamma;</mi> <mn>5</mn> </msub> <mo>(</mo> <mi>&amp;omega;</mi> <mo>)</mo> </mrow> </mtd> </mtr> </mtable> <mo>;</mo> </mrow>
In formula:x3For heave amount, x5For pitching amount, m33For heave quality, m55For pitching moment of inertia, aijFor additional mass, bij For damped coefficient, cijFor recovery coefficient, ω is input Ocean-wave Signal, FiThe power acted on for Ocean-wave Signal on hull, γiFor sea Phase of the unrestrained signal function on hull.
4. a kind of trimaran lengthwise movement identification Method according to claim 1, it is characterised in that:Trimaran longitudinal direction Motion model is mainly made up of two parts, the stress model that Part I is hull under wave effect, including two transmission letters Number, it is the unrestrained high of wave that it, which is inputted, and output is wave force and wave torque respectively;Part II is fortune of the hull under power effect Movable model, including four transmission functions, are transformed into heave amount by wave force respectively, wave torque are transformed into heave amount, by ripple Unrestrained power is transformed into pitching amount, and wave torque is transformed into pitching amount.
5. a kind of trimaran lengthwise movement identification Method according to claim 1, it is characterised in that:Obtaining pond After towing trial data, trimaran lengthwise movement model can be rapidly and accurately picked out.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108549616A (en) * 2018-02-28 2018-09-18 哈尔滨工程大学 The forecasting procedure that ship based on G-N wave models substantially moves in severe sea condition
CN109188898A (en) * 2018-07-12 2019-01-11 哈尔滨工程大学 Optimized parameter decision-making technique under Longitudinal Movement of Ship Multi-object policy
CN109271652A (en) * 2018-07-12 2019-01-25 哈尔滨工程大学 Ship transverse direction three-degree-of-freedom motion parameter identification method based on multi-objective Evolutionary Algorithm
CN109345875A (en) * 2018-09-28 2019-02-15 哈尔滨工程大学 A kind of estimation method improving ship automatic identification system measurement accuracy
CN109334859A (en) * 2018-09-10 2019-02-15 中国船舶工业集团公司第七0八研究所 A kind of small waterplane area twin hull ship global vibration steel test model design method
CN110989628A (en) * 2019-12-27 2020-04-10 哈尔滨工程大学 CFD-based under-actuated surface ship course control method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101708763A (en) * 2009-11-20 2010-05-19 哈尔滨工程大学 Three-body planing boat with graded structure
CN101950375A (en) * 2010-09-03 2011-01-19 清华大学 Method for determining order of unknown model based on traversing and identification of genetic algorithm
CN102574568A (en) * 2009-06-03 2012-07-11 奥斯塔船舶有限公司 Trimaran motion damping
CN103942427A (en) * 2014-04-11 2014-07-23 哈尔滨工程大学 Quick and simple method for solving inverse kinematics of six-degree-of-freedom mechanical arm
CN103955226A (en) * 2014-04-30 2014-07-30 中国舰船研究设计中心 Pitching and heaving proportion-differential control method for wave-piercing catamaran
US20140313071A1 (en) * 2013-04-17 2014-10-23 John W. McCorkle System and method for nonlinear radar
KR20160118455A (en) * 2015-04-01 2016-10-12 주식회사 파나시아 System with data collection unit for testing dynamic positioning controller system of a marine vessel
US20170001732A1 (en) * 2012-10-24 2017-01-05 Aurora Flight Sciences Corporation System and methods for automatically landing aircraft

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102574568A (en) * 2009-06-03 2012-07-11 奥斯塔船舶有限公司 Trimaran motion damping
CN101708763A (en) * 2009-11-20 2010-05-19 哈尔滨工程大学 Three-body planing boat with graded structure
CN101950375A (en) * 2010-09-03 2011-01-19 清华大学 Method for determining order of unknown model based on traversing and identification of genetic algorithm
US20170001732A1 (en) * 2012-10-24 2017-01-05 Aurora Flight Sciences Corporation System and methods for automatically landing aircraft
US20140313071A1 (en) * 2013-04-17 2014-10-23 John W. McCorkle System and method for nonlinear radar
CN103942427A (en) * 2014-04-11 2014-07-23 哈尔滨工程大学 Quick and simple method for solving inverse kinematics of six-degree-of-freedom mechanical arm
CN103955226A (en) * 2014-04-30 2014-07-30 中国舰船研究设计中心 Pitching and heaving proportion-differential control method for wave-piercing catamaran
KR20160118455A (en) * 2015-04-01 2016-10-12 주식회사 파나시아 System with data collection unit for testing dynamic positioning controller system of a marine vessel

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
J. DE LA CRUZ: "Improving the comfort of a fast ferry", 《IEEE CONTROL SYSTEMS MAGAZINE》 *
张晗 等: "基于遗传算法的纵摇运动模式识别模型分析", 《船舰科学技术》 *
李栋臣: "高速三体船运动仿真与姿态控制研究", 《万方数据库》 *
金鸿章著: "《遗传算法理论及其在船舶横摇运动控制中的应用》", 28 February 2006 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108549616A (en) * 2018-02-28 2018-09-18 哈尔滨工程大学 The forecasting procedure that ship based on G-N wave models substantially moves in severe sea condition
CN108549616B (en) * 2018-02-28 2021-11-23 哈尔滨工程大学 Forecasting method for large-amplitude motion of ship in severe sea condition based on G-N wave model
CN109188898A (en) * 2018-07-12 2019-01-11 哈尔滨工程大学 Optimized parameter decision-making technique under Longitudinal Movement of Ship Multi-object policy
CN109271652A (en) * 2018-07-12 2019-01-25 哈尔滨工程大学 Ship transverse direction three-degree-of-freedom motion parameter identification method based on multi-objective Evolutionary Algorithm
CN109188898B (en) * 2018-07-12 2021-06-18 哈尔滨工程大学 Optimal parameter decision method under ship longitudinal motion multi-target strategy
CN109271652B (en) * 2018-07-12 2022-05-31 哈尔滨工程大学 Ship transverse three-degree-of-freedom motion parameter identification method based on multi-target evolutionary algorithm
CN109334859A (en) * 2018-09-10 2019-02-15 中国船舶工业集团公司第七0八研究所 A kind of small waterplane area twin hull ship global vibration steel test model design method
CN109345875A (en) * 2018-09-28 2019-02-15 哈尔滨工程大学 A kind of estimation method improving ship automatic identification system measurement accuracy
CN109345875B (en) * 2018-09-28 2020-11-03 哈尔滨工程大学 Estimation method for improving measurement accuracy of automatic ship identification system
CN110989628A (en) * 2019-12-27 2020-04-10 哈尔滨工程大学 CFD-based under-actuated surface ship course control method

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