CN106407630B - Using the method for consumption of materials model mapping verifying trim result - Google Patents

Using the method for consumption of materials model mapping verifying trim result Download PDF

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CN106407630B
CN106407630B CN201611075149.1A CN201611075149A CN106407630B CN 106407630 B CN106407630 B CN 106407630B CN 201611075149 A CN201611075149 A CN 201611075149A CN 106407630 B CN106407630 B CN 106407630B
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mass center
goods lattice
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CN106407630A (en
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郭继文
周保琢
徐战
张志�
严明
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Sichuan Aerospace System Engineering Research Institute
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Abstract

The invention discloses a kind of method using consumption of materials model mapping verifying trim result, the method is the following steps are included: Step 1: building approximately linear consumption models;Step 2: level of approximation straight line is presented in amount of materials consumed in some cycles in analysis aircraft;Step 3: using approximately linear consumption models deduce to obtain entire aircraft X-axis mass center, Y-axis mass center and Z axis mass center variation slope be about some goods lattice respectively with mass center axis direction, mass center axis direction and axis direction mass center approximation linear function;Step 4: determining that the adjustment of aircraft mass center formulates task scheduling using periodic manner.The present invention analyzes amount of materials consumed in aircraft and level of approximation straight line is presented in some cycles by building approximately linear consumption models, to propose a kind of method using consumption of materials model mapping verifying trim result, provides the reliability of trim result.

Description

Using the method for consumption of materials model mapping verifying trim result
Technical field
The present invention relates to aircraft flight safety control technology fields, and in particular to a kind of application consumption of materials model mapping The method for verifying trim result.
Background technique
When vehicle launch, when flying and entering the orbit, its quality and center-of-mass coordinate will largely influence its flight peace Entirely, while above-mentioned parameter plays a significant role for reducing fuel consumption, improving posture orbit control accuracy, especially aircraft It before uplink and requires to calculate its quality and center-of-mass coordinate before downlink, verifies whether it meets the requirements flight requirement.
Since scientific research activity of the staff in aircraft needs to consume huge amounts of material, so aircraft total quality and Some local space all generates variation, and aircraft total quality and mass center can also generate variation, and aircraft is caused to deviate flight rail The possibility in road, therefore above-mentioned working environment will all have an important influence on the pose adjustment and orbit adjusting of aircraft.With people Member lives or movable vehicle mass and mass center Variation Features include: that 1. the consumption of materials causes aircraft part empty in aircraft Interior qualitative materiel variation, to influence the variation of aircraft mass center;2. quality and the mass center variation of aircraft are discrete;3. work Make personnel consume daily goods and materials quality it is very little relative to the quality of aircraft, the variation of aircraft mass center can be approximated to be Continuously;4. most important influence will be generated to vehicle mass and mass center variation by consuming category goods and materials;5. aircraft entirety matter Amount variation has some cycles, and mass center variation has certain correlation with mass change and goods and materials position.
Summary of the invention
The present invention overcomes the deficiencies in the prior art, provide a kind of using consumption of materials model mapping verifying trim result Method.
The present invention is analyzed amount of materials consumed in aircraft and is presented in some cycles by building approximately linear consumption models Level of approximation straight line is met approaches uniformity distribution, is deduced to obtain entire aircraft X-axis matter using approximately linear consumption models The heart, Y-axis mass center and Z axis mass center variation slope be about some goods lattice respectively with mass center axis direction, mass center axis direction and axis direction Mass center approximation linear function provides trim to propose a kind of method using consumption of materials model mapping verifying trim result As a result reliability.
In order to solve the above technical problems, the invention adopts the following technical scheme:
A method of using consumption of materials model mapping verify trim result, the method the following steps are included:
Step 1: building approximately linear consumption models;
Step 2: level of approximation straight line is presented in amount of materials consumed in some cycles in analysis aircraft;
Step 3: deducing to obtain entire aircraft X-axis mass center, Y-axis mass center and Z axis mass center using approximately linear consumption models Variation slope be about some goods lattice respectively with mass center axis direction, mass center axis direction and axis direction mass center approximation linear function;
Step 4: determining that the adjustment of aircraft mass center formulates task scheduling using periodic manner.
Further technical solution be the step 1 comprise determining that influence vehicle mass and mass center variation from To food or the water consumption of materials, and in a unit period, consumption goods and materials amount is approximately constant value to staff.
Further technical solution is that the step 2 includes: to set in aircraft by n staff, it is specified that a week Phase is one day, and the collection of all staff on board is combined into U={ 1,2 ..., n }.The qualitative materiel consumed daily is respectively mi, i ∈ U, therefore the goods and materials gross mass consumed daily in aircraft is approximately ∑i∈U mi
Further technical solution is to deduce process in the step 3 to include:
Step 1, cargo in aircraft is set to store using goods lattice as minimum memory unit;
Step 2, each goods lattice has unique 3 D stereo coordinate in aircraft, and wherein goods lattice coordinate value defines
For goods lattice geometric center to aircraft central axes distance, and goods lattice coordinate be tool it is directive;
Step 3, if aircraft is being m without the mass property before cargo0,(x0,y0,z0), wherein m0For initial mass, (x0,y0,z0) it is initial center-of-mass coordinate;
Step 4, if entire aircraft has N number of goods lattice, the corresponding quality of each goods lattice and mass center are respectively mi,(xi,yi, zi),i∈{1,...,N};
Step 5, if the cargo density function in i-th of goods lattice is ρi(x, y, z), vectorial coordinate ri, region is expressed as Di, therefore the center-of-mass coordinate M of the goods latticei(x, y, z) is indicated are as follows:
X center-of-mass coordinate, Y centroid coordinate, the Z center-of-mass coordinate approximate formula of entire aircraft are respectively as follows:
X=(m0x0+∑i∈{1,...,N}mixi)/(m0+∑i∈{1,...,N}mi) (2)
Y=(m0y0+∑i∈{1,...,N}miyi)/(m0+∑i∈{1,...,N}mi) (3)
Z=(m0z0+∑i∈{1,...,N}mizi)/(m0+∑i∈{1,...,N}mi) (4)
If the quality of goods lattice i changes, density also generates variation, and then mass center changes, then goods lattice Centroid calculation formula are as follows:
Step 6, if set P*={ 1 ..., i-1, i+1 ... N }, P={ 1 ..., N }, wherein P*It indicates in addition to goods lattice i Goods lattice set in addition, P indicate to include all goods lattice set;Since approximate water is presented in the qualitative materiel consumed daily in aircraft Flat line, when i-th of goods lattice reduces δi, then the center-of-mass coordinate of entire aircraft is respectively as follows: after changing
The variation of this aircraft mass center parameter is calculated, quality and initial center-of-mass coordinate are constant, therefore to variation Center-of-mass coordinate X afterwards*, center-of-mass coordinate Y*With center-of-mass coordinate Z*It differentiates respectively, enables M=m0+∑j∈PmjAndWherein independent variable is δiAnd quality is approximate continuous variation, then to X*It asks Leading can obtain:
When the mass change of i-th of goods lattice goes to zero namely goods lattice mass change is ignored not relative to vehicle mass Timing then has
It is obtained by formula (10), entire aircraft X-axis mass center variation slope is the mass center about goods lattice iLinear letter Number;Influence of the goods lattice variation to entire aircraft mass center is learnt in linear approximate relationship, if the X-axis mass center of i-th of goods lattice is xi, Entire aircraft mass center changes function F (xi), learn that entire aircraft Y-axis mass center and Z axis mass center variation slope are about some The approximation linear function in goods lattice mass center y-axis direction and z-axis direction mass center.
It includes: by adjusting the quality of related goods lattice, so that aircraft that further technical solution, which is the step 4, Meet mass center safety condition again, then notifies staff, staff to complete goods lattice according to predesigned order task scheduling The center of mass values of entire aircraft is remedied to safe flight again so that having deviated from the aircraft of quality by the adjustment of interior goods and materials Range.
Compared with prior art, the beneficial effect of the embodiment of the present invention first is that: the present invention by construct approximately linear disappear Model is consumed, amount of materials consumed in aircraft is analyzed and level of approximation straight line is presented in some cycles, that is, meet approaches uniformity distribution, Using approximately linear consumption models deduce to obtain entire aircraft X-axis mass center, Y-axis mass center and Z axis mass center variation slope be about Some goods lattice respectively with mass center x-axis direction, mass center y-axis direction and z-axis direction mass center approximation linear function, to propose that one kind is answered With the method for consumption of materials model mapping verifying trim result, the reliability of trim result is provided.
Detailed description of the invention
Fig. 1 is amount of materials consumed broken line schematic diagram in a cycle in one embodiment of the invention.
Fig. 2 is that cargo storage arranges schematic diagram in aircraft in one embodiment of the invention.
Fig. 3 is the variation of goods lattice mass center and entire flight mass center variation relation broken line schematic diagram in one embodiment of the invention.
Specific embodiment
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive Feature and/or step other than, can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract and attached drawing), except non-specifically chatting It states, can be replaced by other alternative features that are equivalent or have similar purpose.That is, unless specifically stated, each feature is only It is an example in a series of equivalent or similar characteristics.
Specific embodiments of the present invention will be described in detail with reference to the accompanying drawings and embodiments.
Due to a large amount of consumption of goods and materials in aircraft, its quality and mass center is caused to change, influences its flight safety, such as Fruit aircraft mass center variation be it is controllable, to reduce fuel consumption, improve posture orbit control accuracy play a significant role.This reality It applies example and discloses a kind of method using consumption of materials model mapping verifying trim result, by constructing approximately linear consumption models, Level of approximation straight line is presented in amount of materials consumed in some cycles in analysis aircraft, that is, meets approaches uniformity and be distributed, using close Liny consumption models are deduced to obtain entire aircraft X-axis mass center, Y-axis mass center and Z axis mass center variation slope to be about some goods Lattice respectively with mass center x-axis direction, mass center y-axis direction and z-axis direction mass center approximation linear function, to propose a kind of using goods and materials The method that consumption models deduce verifying trim result, provides the reliability of trim result.
Specifically, the present embodiment application consumption of materials model mapping verifying trim result method the following steps are included:
Step 1: building approximately linear consumption models
The factor of the quality and mass center variation that influence aircraft goods and materials situation of change in aircraft, comprising: object Money consumption is reduced, newborn goods and materials increase or goods and materials position is moved, i.e. the mass change of local space leads to the matter of entire aircraft The heart changes, and will focus on analyzing influence situation below.
Consuming goods and materials mainly includes the goods and materials such as food, water and clothing.After food and water are consumed by staff, cause to fly Local space quality is with reduction in row device;And garment type consumption is that the duds object after use is put into specified waste storage Space, therefore quality does not generate variation.The variation of consumption class qualitative materiel is to be presented approximate one often in some cycles Value.
Newly-generated goods and materials mainly include two class parts in aircraft, first is that the excreta etc. that staff generates daily, this A little wastes will place designated position;Second is that the new goods and materials that Space Experiments generate, it can also store designated position in aircraft. The excretion object amount that human body generates daily can be approximated to be a constant value, and the new goods and materials that Space Experiments generate are although have centainly Randomness, but its variation is very little on the variation influence of the mass center of aircraft.
Move the movement referred generally to tool, aftermarket attachment in goods and materials position.After work is completed, tool requires to put back to Origin-location, after aftermarket attachment replaces original old accessory, old accessory will also be put back into origin-location, therefore goods and materials position is moved It is dynamic that the variation of the quality of entire aircraft and mass center is not all influenced.
To sum up analyze, influence vehicle mass and mass center variation mostly come from staff to goods and materials such as food or water Consumption, and consumption goods and materials amount can be approximated to be constant value in a unit period (one day or one week).
Step 2: level of approximation straight line is presented in amount of materials consumed in some cycles in analysis aircraft;
If by n staff, it is specified that a cycle is one day in aircraft, and the collection of all staff on board is combined into U= {1,2,...,n}.The qualitative materiel consumed daily is respectively mi, i ∈ U, therefore the goods and materials gross mass consumed daily in aircraft It is approximately ∑i∈U mi.Therefore the qualitative materiel that staff consumes in one cycle in aircraft is approximate as shown in Figure 1.
Since amount of materials consumed is relatively fixed in aircraft each period, the consumption of materials presents approximate in each period It is uniformly distributed.
Step 3: determining that mass property changes linear relationship
In general, the mass property of aircraft includes: quality, X-axis mass center, Y-axis mass center, Z axis mass center etc., they are aircraft The key parameter of mass property.Therefore influencing the mass property of entire aircraft includes: quality, X axis coordinate, Y axis coordinate and Z axis Coordinate.
Wherein, the determination about cargo layout structure in aircraft, cargo storage is using goods lattice as minimum memory in aircraft Unit, each goods lattice correspond to different memory space coordinates, and the corresponding mass change of each memory space coordinate, all will affect The mass center of entire aircraft changes, goods lattice expanded schematic diagram in aircraft, as shown in Figure 2.
Each goods lattice has its unique 3 D stereo coordinate, i.e. (x, y, z) in aircraft, and wherein goods lattice coordinate value defines For goods lattice geometric center to aircraft central axes distance, and goods lattice coordinate be tool it is directive.
About vehicle mass characteristic calculate the following steps are included:
Step1, if aircraft is being m without the mass property before cargo0,(x0,y0,z0), wherein m0For initial mass, (x0,y0,z0) it is initial center-of-mass coordinate.
Step 2, if entire aircraft has N number of goods lattice, the corresponding quality of each goods lattice and mass center are respectively mi,(xi,yi, zi),i∈{1,...,N}。
Step 3, if the cargo density function in i-th of goods lattice is ρi(x, y, z), vectorial coordinate ri, region is expressed as Di, therefore the center-of-mass coordinate M of the goods latticei(x, y, z) can be indicated are as follows:
X center-of-mass coordinate, Y centroid coordinate, the Z center-of-mass coordinate approximate formula of entire aircraft are respectively as follows:
X=(m0x0+∑i∈{1,...,N}mixi)/(m0+∑i∈{1,...,N}mi) (2)
Y=(m0y0+∑i∈{1,...,N}miyi)/(m0+∑i∈{1,...,N}mi) (3)
Z=(m0z0+∑i∈{1,...,N}mizi)/(m0+∑i∈{1,...,N}mi) (4)
If the quality of goods lattice i changes, density also generates variation, and then mass center changes, then goods lattice Centroid calculation formula are as follows:
Step4, if set P*={ 1 ..., i-1, i+1 ... N }, P={ 1 ..., N }, wherein P*It indicates in addition to goods lattice i Goods lattice set in addition, P indicate to include all goods lattice set.
Since level of approximation straight line is presented in the qualitative materiel consumed daily in aircraft, when i-th of goods lattice reduces δi, then become The center-of-mass coordinate of entire aircraft is respectively as follows: after change
The variation of this aircraft mass center parameter is calculated, quality and initial center-of-mass coordinate are constant.Therefore to variation Center-of-mass coordinate X afterwards*, center-of-mass coordinate Y*With center-of-mass coordinate Z*It differentiates respectively, enables M=m0+∑j∈PmjAndWherein independent variable is δiAnd quality is approximate continuous variation, then to X*It asks Leading can obtain:
When the mass change of i-th of goods lattice goes to zero namely goods lattice mass change can be neglected relative to vehicle mass It is slightly not-time, then have
Entire aircraft X-axis mass center variation slope is the mass center about goods lattice i it can be seen from formula (10)It is linear Function.Know that influence of the goods lattice variation to entire aircraft mass center is in linear approximate relationship, if the X-axis mass center of i-th of goods lattice is xi, entire aircraft mass center variation function F (xi), the variation of goods lattice mass center and entire flight mass center variation relation broken line schematic diagram are such as Shown in Fig. 3.
The Y axis coordinate and Z axis changes in coordinates of entire aircraft are similar with X axis coordinate variation, therefore entire aircraft Y-axis matter The heart and Z axis mass center variation slope are the approximation linear functions about some goods lattice mass center y-axis direction and z-axis direction mass center.
Step 4: determining that the adjustment of aircraft mass center formulates task scheduling using periodic manner.
Since approximation linear function is presented to the mass center variation of entire aircraft in the quality variable of some goods lattice on aircraft Relationship, aircraft mass center variation within operation a period of time is that approximately linear variation is presented.Therefore aircraft mass center adjustment uses Periodic manner formulates task scheduling, the i.e. quality by adjusting related goods lattice, so that aircraft " again " meets mass center safety Then task scheduling is notified staff, staff to complete the adjustment of goods and materials in goods lattice according to a graded by condition, so that The aircraft of quality is had deviated from, the center of mass values of entire aircraft is remedied to safe flight range again.
By building approximately linear consumption models, analyze amount of materials consumed in aircraft is in the present embodiment in some cycles Existing level of approximation straight line is met approaches uniformity distribution, is deduced to obtain entire aircraft X-axis matter using approximately linear consumption models The heart, Y-axis mass center and Z axis mass center variation slope be about some goods lattice respectively with mass center x-axis direction, mass center y-axis direction and z-axis side To mass center approximation linear function, to propose the method using consumption of materials model mapping verifying trim result, trim is provided As a result reliability.
" one embodiment " for being spoken of in the present specification, " another embodiment ", " embodiment " etc., refer to combining Specific features, structure or the feature of embodiment description are included at least one embodiment generally described herein. It is not centainly to refer to the same embodiment that statement of the same race, which occur, in multiple places in the description.Furthermore, it is understood that in conjunction with any When a embodiment describes a specific features, structure or feature, to be advocated be realized in conjunction with other embodiments it is this Feature, structure or feature are also fallen within the scope of the present invention.
Although reference be made herein to invention has been described for the multiple explanatory embodiments invented, however, it is to be understood that this Field technical staff can be designed that a lot of other modification and implementations, these modifications and implementations will fall in the application Within disclosed scope and spirit.More specifically, it is disclosed in the scope of the claims in the application, it can be to theme group The building block and/or layout for closing layout carry out a variety of variations and modifications.In addition to the modification carried out to building block and/or layout Outer with improving, to those skilled in the art, other purposes also will be apparent.

Claims (4)

1. it is a kind of using the consumption of materials model mapping verifying trim result method, it is characterised in that: the method include with Lower step:
Step 1: building approximately linear consumption models;
Step 2: level of approximation straight line is presented in amount of materials consumed in some cycles in analysis aircraft;
Step 3: deducing to obtain entire aircraft X-axis mass center, Y-axis mass center and the variation of Z axis mass center using approximately linear consumption models Slope is about some goods lattice approximation linear function with mass center X-direction, mass center Y direction and Z-direction mass center respectively;
Step 4: determining that the adjustment of aircraft mass center formulates task scheduling using periodic manner;
Process is deduced in the step three includes:
Step 1, cargo in aircraft is set to store using goods lattice as minimum memory unit;
Step 2, each goods lattice has unique 3 D stereo coordinate in aircraft, and wherein goods lattice coordinate value is defined as the several of goods lattice The distance of aircraft central axes is arrived at what center, and goods lattice coordinate be have it is directive;
Step 3, if aircraft is being m without the mass property before cargo0,(x0,y0,z0), wherein m0For initial mass, (x0, y0,z0) it is initial center-of-mass coordinate;
Step 4, if entire aircraft has N number of goods lattice, the corresponding quality of each goods lattice and mass center are respectively mi,(xi,yi,zi),i∈ {1,...,N};
Step 5, if the cargo density function in i-th of goods lattice is ρi(x, y, z), vectorial coordinate ri, region is expressed as Di, because The center-of-mass coordinate M of this goods latticei(x, y, z) is indicated are as follows:
X center-of-mass coordinate, Y centroid coordinate, the Z center-of-mass coordinate approximate formula of entire aircraft are respectively as follows:
X=(m0x0+∑i∈{1,...,N}mixi)/(m0+∑i∈{1,...,N}mi) (2)
Y=(m0y0+∑i∈{1,...,N}miyi)/(m0+∑i∈{1,...,N}mi) (3)
Z=(m0z0+∑i∈{1,...,N}mizi)/(m0+∑i∈{1,...,N}mi) (4)
If the quality of goods lattice i changes, density also generates variation, and then mass center changes, then goods lattice mass center Calculation formula are as follows:
Step 6, if set P*={ 1 ..., i-1, i+1 ... N }, P={ 1 ..., N }, wherein P*It indicates other than goods lattice i Goods lattice set, P indicate include all goods lattice set;Since the qualitative materiel presentation level of approximation consumed daily in aircraft is straight Line, when i-th of goods lattice reduces δi, then the center-of-mass coordinate of entire aircraft is respectively as follows: after changing
The variation of this aircraft mass center parameter is calculated, quality and initial center-of-mass coordinate are constant, therefore to variation after Center-of-mass coordinate X*, center-of-mass coordinate Y*With center-of-mass coordinate Z*It differentiates respectively, enables M=m0+∑j∈PmjAndWherein independent variable is δiAnd quality is approximate continuous variation, then to X*It asks Leading can obtain:
When the mass change of i-th of goods lattice goes to zero namely when goods lattice mass change is ignored relative to vehicle mass, Then have
It is obtained by formula (10), entire aircraft X-axis mass center variation slope is the mass center about goods lattice iLinear function;? Influence of the goods lattice variation to entire aircraft mass center is known in linear approximate relationship, if the X-axis mass center of i-th of goods lattice is xi, entirely Aircraft mass center changes function F (xi), learn that entire aircraft Y-axis mass center and Z axis mass center variation slope are about some goods lattice The approximation linear function in mass center y-axis direction and z-axis direction mass center.
2. the method according to claim 1 using consumption of materials model mapping verifying trim result, it is characterised in that institute The step of stating one, which comprises determining that, influences vehicle mass and mass center variation from staff to food or the water consumption of materials, And consumption goods and materials amount is approximately constant value in a unit period.
3. the method according to claim 1 using consumption of materials model mapping verifying trim result, it is characterised in that institute The step of stating two includes: to set in aircraft to have n staff, it is specified that a cycle is one day, and the collection of all staff on board It is combined into U={ 1,2 ..., n };The qualitative materiel consumed daily is respectively mi, i ∈ U, therefore the goods and materials consumed daily in aircraft Gross mass is approximately ∑i∈U mi
4. the method according to claim 1 using consumption of materials model mapping verifying trim result, it is characterised in that institute The step of stating four includes: that, so that aircraft meets mass center safety condition again, then will appoint by adjusting the quality of related goods lattice Business plan notifies staff, and staff completes the adjustment of goods and materials in goods lattice according to predesigned order, so that having deviated from quality Aircraft, the center of mass values of entire aircraft is remedied to safe flight range again.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914073A (en) * 2014-04-22 2014-07-09 西北工业大学 Reentry vehicle trajectory optimization method based on variable-centroid rolling control mode
CN103913991A (en) * 2014-04-22 2014-07-09 西北工业大学 High-speed axisymmetric aircraft composite control method
US8903689B2 (en) * 2009-06-25 2014-12-02 Commonwealth Scientific And Industrial Research Organisation Autonomous loading
CN104881553A (en) * 2015-06-15 2015-09-02 哈尔滨工业大学 Single sliding block rolling spray mode variable centroid aircraft model and designing method for structural layout parameters thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8903689B2 (en) * 2009-06-25 2014-12-02 Commonwealth Scientific And Industrial Research Organisation Autonomous loading
CN103914073A (en) * 2014-04-22 2014-07-09 西北工业大学 Reentry vehicle trajectory optimization method based on variable-centroid rolling control mode
CN103913991A (en) * 2014-04-22 2014-07-09 西北工业大学 High-speed axisymmetric aircraft composite control method
CN104881553A (en) * 2015-06-15 2015-09-02 哈尔滨工业大学 Single sliding block rolling spray mode variable centroid aircraft model and designing method for structural layout parameters thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吸气式高超声速飞行器多学科动力学建模;华如豪 等;《航空学报》;20140929;第36卷(第1期);346-356

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