CN105205261A - Autonomous underwater vehicle appearance optimization method - Google Patents
Autonomous underwater vehicle appearance optimization method Download PDFInfo
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- CN105205261A CN105205261A CN201510611378.XA CN201510611378A CN105205261A CN 105205261 A CN105205261 A CN 105205261A CN 201510611378 A CN201510611378 A CN 201510611378A CN 105205261 A CN105205261 A CN 105205261A
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Abstract
The invention relates to an autonomous underwater vehicle appearance optimization method which is used for overcoming the defects that a traditional optimization method of the appearance of an autonomous underwater vehicle is overlong in cycle and huge in cost. An ISIGHT multidisciplinary optimization design platform carrying optimization algorithm, namely, an NSGA-II genetic algorithm, is adopted, data exchange is achieved among three integration modules of SOLIDWORKS, GAMBIT and FLUENT, modeling and simulation of the appearance of the autonomous underwater vehicle are achieved, high-efficiency automation of the design process of the autonomous underwater vehicle appearance optimization method is achieved, and optimal design parameters are determined. By means of the autonomous underwater vehicle appearance optimization method, the accuracy and the efficiency of appearance optimization of the autonomous underwater vehicle can be effectively improved, the sailing resistance of the autonomous underwater vehicle is reduced, the autonomous underwater vehicle has larger bearing capacity simultaneously, and therefore the economical efficiency and the practicability of the autonomous underwater vehicle are promoted.
Description
Technical field:
The invention belongs to underwater robot technical field, particularly relate to a kind of under-water self-navigation device profile optimization method.
Background technology:
The design of tradition underwater robot is a kind of serial design, often rely on personal experience and the ability and intelligence of deviser, parent form is chosen from existing underwater robot type, determine its preliminary principal dimensions and version, the constantly manual amendment that to improve in process afterwards optimizes, until design one meet mission requirements, principal dimensions and water discharge reach best underwater robot.This traditional design method needs in whole design process, carry out a large amount of repeatability amendments, causes excessive cycle, costly shortcoming.
Along with the development of subjects theory knowledge, computer technology and modern optimization method, the design of underwater robot presents the new feature of integrated use modeling software, Fluid Mechanics Computation (computationalfluiddynamics, CFD) software, Optimization Software.Along with multidisciplinary Multipurpose Optimal Method (Multi-objective/MultidisciplinaryDesignOptimization, MDO) in the outstanding representation of various fields, under-water self-navigation device engineering design field also more and more will pay attention to this effective optimization method, expect to adopt multidisciplinary, multiple goal comprehensive Design pattern to promote the overall design level of under-water self-navigation device, realize the raising of its hydrodynamic performance further.
The ISIGHT originating from GE is powerful computer aided optimum (ComputerAidedOptimization, CAO) platform, be widely used in Aeronautics and Astronautics, automobile, boats and ships, the parts of electronic applications, subsystem optimization, and complex product multidisciplinary design optimization.For the simulation flow of complexity, user can the integrated and management by ISIGHT, and can explore the scheme of being optimized by multiple optimized algorithm, thus reduce R&D costs, shorten the product development cycle.
Summary of the invention:
In order to solve under-water self-navigation device profile traditional optimization excessive cycle, costly shortcoming, the present invention proposes a kind of under-water self-navigation device profile optimization method.The method adopts ISIGHT Multidisciplinary Optimization platform to carry optimized algorithm one NSGA-II genetic algorithm, integrate the large integration module of SOLIDWORKS, GAMBIT, FLUENT tri-and realize exchanges data to carry out modeling, the emulation of under-water self-navigation device profile, realize the high-efficient automatic of under-water self-navigation device profile optimization method design process, determine best design parameter.
The technical solution adopted for the present invention to solve the technical problems is: a kind of under-water self-navigation device profile optimization method.Be characterized in adopting following steps:
Step one: afterbody (3) length of head (1) length of the semiellipse solid of revolution line style of under-water self-navigation device, stage casing (2) length and parabola revolution body line style is design variable, and under-water self-navigation device total length is constraint condition.Design variable is write in VBS script file, completed the structure of under-water self-navigation device parameterized model by the autoexec GoSolidworks.bat Direct driver SOLIDWORKS of script file and self-starting SOLIDWORKS and automatically preserved the AUV.step file that can be used for stress and strain model.
Step 2: the autoexec GoGambit.bat creating self-starting GAMBIT realizes the reading of the command stream file mesh.jou that GAMBIT performs; Mesh.jou command stream file automatically performs the stress and strain model of the file of AUV.step described in step one and boundary condition setting and automatically derives the AUV.msh file that can be used for Calculation of Hydrodynamic.
Step 3: the autoexec GoFluent.bat creating self-starting FLUENT realizes the reading of the command stream file solve.jou that FLUENT performs; Solve.jou command stream file automatically performs the automatic setting of the calculating and setting such as solver, turbulence model, starting condition and fluid behaviour to the file of AUV.msh described in step 2 and an editor Calculation of Hydrodynamic destination file output.dat automatically.
Step 4: read under-water self-navigation device resistance coefficient Cd and maximum displacement V from the output.dat file described in step 3, in conjunction with under-water self-navigation device resistance coefficient Cd and maximum displacement V target setting function:
Minimize：
Wherein
X
1＝MinimizeCd；X
2＝MaximizeV
SF
1＝1；SF
2＝100；W
1＝0.6；W
2＝-0.4
This method terminates.
Advantage of the present invention and good effect are: under-water self-navigation device profile optimization method effectively can improve the accuracy and efficiency of under-water self-navigation device profile optimization, while reducing under-water self-navigation device ship resistance, make it have larger load-bearing capacity, thus improve economy and the practicality of under-water self-navigation device.
Below in conjunction with the drawings and specific embodiments, the present invention is elaborated.
Accompanying drawing illustrates:
Fig. 1 is the structural representation of under-water self-navigation device of the present invention.
Fig. 2 is under-water self-navigation device profile optimization method schematic diagram of the present invention.
Wherein: 1 is the semiellipse solid of revolution line head of under-water self-navigation device, 2 is the right cylinder stage casing of under-water self-navigation device, and 3 is the parabola revolution body line style afterbody of under-water self-navigation device.
Embodiment:
In order to deepen the understanding of the present invention, below in conjunction with accompanying drawing 1 ~ 2, a kind of under-water self-navigation device profile optimization method that the present invention proposes is described in further detail.
A kind of described under-water self-navigation device profile optimization method, is characterized in adopting following steps:
Step one: afterbody (3) length of head (1) length of the semiellipse solid of revolution line style of under-water self-navigation device, stage casing (2) length and parabola revolution body line style is design variable, and under-water self-navigation device total length is constraint condition.Design variable is write in VBS script file, completed the structure of under-water self-navigation device parameterized model by the autoexec GoSolidworks.bat Direct driver SOLIDWORKS of script file and self-starting SOLIDWORKS and automatically preserved the AUV.step file that can be used for stress and strain model.
Step 2: the autoexec GoGambit.bat creating self-starting GAMBIT realizes the reading of the command stream file mesh.jou that GAMBIT performs; Mesh.jou command stream file automatically performs the stress and strain model of the file of AUV.step described in step one and boundary condition setting and automatically derives the AUV.msh file that can be used for Calculation of Hydrodynamic.
Step 3: the autoexec GoFluent.bat creating self-starting FLUENT realizes the reading of the command stream file solve.jou that FLUENT performs; Solve.jou command stream file automatically performs the automatic setting of the calculating and setting such as solver, turbulence model, starting condition and fluid behaviour to the file of AUV.msh described in step 2 and an editor Calculation of Hydrodynamic destination file output.dat automatically.
Step 4: read under-water self-navigation device resistance coefficient Cd and maximum displacement V from the output.dat file described in step 3, in conjunction with under-water self-navigation device resistance coefficient Cd and maximum displacement V target setting function:
Minimize：
Wherein
X
1＝MinimizeCd；X
2＝MaximizeV
SF
1＝1；SF
2＝100；W
1＝0.6；W
2＝-0.4
This method terminates.
Claims (2)
1. a under-water self-navigation device profile optimization method, it is characterized in that adopting ISIGHT Multidisciplinary Optimization platform to carry optimized algorithm-NSGA-II genetic algorithm, integrate the large integration module of SOLIDWORKS, GAMBIT, FLUENT tri-and realize exchanges data to carry out modeling, the emulation of under-water self-navigation device profile, realize the high-efficient automatic of described under-water self-navigation device profile optimization method design process, determine best design parameter.
2. a kind of under-water self-navigation device profile optimization method according to claim 1, is characterized in that comprising following step:
Step one: afterbody (3) length of head (1) length of the semiellipse solid of revolution line style of under-water self-navigation device, right cylinder stage casing (2) length and parabola revolution body line style is design variable, under-water self-navigation device total length is constraint condition, design variable is write in VBS script file, completed the structure of under-water self-navigation device parameterized model by the autoexec GoSolidworks.bat Direct driver SOLIDWORKS of script file and self-starting SOLIDWORKS and automatically preserved the AUV.step file that can be used for stress and strain model;
Step 2: the autoexec GoGambit.bat creating self-starting GAMBIT realizes the reading of the command stream file mesh.jou that GAMBIT performs, mesh.jou command stream file automatically performs the stress and strain model of the file of AUV.step described in step one and boundary condition setting and automatically derives the AUV.msh file that can be used for Calculation of Hydrodynamic.
Step 3: the autoexec GoFluent.bat creating self-starting FLUENT realizes the reading of the command stream file solve.jou that FLUENT performs, solve.jou command stream file automatically performs the automatic setting of the calculating and setting such as solver, turbulence model, starting condition and fluid behaviour to the file of AUV.msh described in step 2 and an editor Calculation of Hydrodynamic destination file output.dat automatically;
Step 4: read under-water self-navigation device resistance coefficient Cd and maximum displacement V from the output.dat file described in step 3, in conjunction with under-water self-navigation device resistance coefficient Cd and maximum displacement V target setting function:
Minimize：
Wherein
X
1＝MinimizeCd；X
2＝MaximizeV
SF
1＝1；SF
2＝100；W
1＝0.6；W
2＝-0.4
This method terminates.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273569A (en) * | 2017-05-09 | 2017-10-20 | 武汉理工大学 | Aerodynamic configuration drag reduction optimization method based on mesh deformation technique |
| CN107301267A (en) * | 2017-05-17 | 2017-10-27 | 哈尔滨工程大学 | A kind of reduction UUV based on NSGA II algorithms is empty the optimization method of rate |
| CN108446481A (en) * | 2018-03-15 | 2018-08-24 | 西北工业大学 | A kind of portable AUV Exterior Surface Designs of low-resistance low noise based on the optimization of grey wolf colony intelligence |
| CN108650030A (en) * | 2018-05-07 | 2018-10-12 | 上海电力学院 | The multiple convergence node dispositions methods of the water surface of underwater wireless sensor network |
| CN109002636A (en) * | 2018-08-02 | 2018-12-14 | 哈尔滨工程大学 | A kind of underwater autonomous underwater vehicle lower coupling layer architecture optimization method step by step |
| CN110309573A (en) * | 2019-06-25 | 2019-10-08 | 西北工业大学 | It is a kind of that based on coupling, adjoint submarine navigation device is multidisciplinary to act on behalf of optimization method |
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2015
- 2015-09-18 CN CN201510611378.XA patent/CN105205261A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273569A (en) * | 2017-05-09 | 2017-10-20 | 武汉理工大学 | Aerodynamic configuration drag reduction optimization method based on mesh deformation technique |
| CN107273569B (en) * | 2017-05-09 | 2019-09-10 | 武汉理工大学 | Aerodynamic configuration drag reduction optimization method based on mesh deformation technique |
| CN107301267A (en) * | 2017-05-17 | 2017-10-27 | 哈尔滨工程大学 | A kind of reduction UUV based on NSGA II algorithms is empty the optimization method of rate |
| CN108446481A (en) * | 2018-03-15 | 2018-08-24 | 西北工业大学 | A kind of portable AUV Exterior Surface Designs of low-resistance low noise based on the optimization of grey wolf colony intelligence |
| CN108446481B (en) * | 2018-03-15 | 2021-10-26 | 西北工业大学 | Low-resistance low-noise portable AUV shape design method based on grey wolf group intelligent optimization |
| CN108650030A (en) * | 2018-05-07 | 2018-10-12 | 上海电力学院 | The multiple convergence node dispositions methods of the water surface of underwater wireless sensor network |
| CN108650030B (en) * | 2018-05-07 | 2021-05-11 | 上海电力学院 | Water surface multi-sink node deployment method of underwater wireless sensor network |
| CN109002636A (en) * | 2018-08-02 | 2018-12-14 | 哈尔滨工程大学 | A kind of underwater autonomous underwater vehicle lower coupling layer architecture optimization method step by step |
| CN109002636B (en) * | 2018-08-02 | 2022-11-01 | 哈尔滨工程大学 | Step-by-step optimization method for low-coupling layered architecture of underwater unmanned underwater vehicle |
| CN110309573A (en) * | 2019-06-25 | 2019-10-08 | 西北工业大学 | It is a kind of that based on coupling, adjoint submarine navigation device is multidisciplinary to act on behalf of optimization method |
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