CN107414834A - A kind of multirobot cooperative system Static stiffness real-time performance evaluation method - Google Patents

A kind of multirobot cooperative system Static stiffness real-time performance evaluation method Download PDF

Info

Publication number
CN107414834A
CN107414834A CN201710683026.4A CN201710683026A CN107414834A CN 107414834 A CN107414834 A CN 107414834A CN 201710683026 A CN201710683026 A CN 201710683026A CN 107414834 A CN107414834 A CN 107414834A
Authority
CN
China
Prior art keywords
mtd
mrow
mtr
msub
robot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710683026.4A
Other languages
Chinese (zh)
Inventor
汪博文
田应仲
李龙
王国鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Shanghai for Science and Technology
Original Assignee
University of Shanghai for Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Shanghai for Science and Technology filed Critical University of Shanghai for Science and Technology
Priority to CN201710683026.4A priority Critical patent/CN107414834A/en
Publication of CN107414834A publication Critical patent/CN107414834A/en
Pending legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1602Programme controls characterised by the control system, structure, architecture
    • B25J9/1607Calculation of inertia, jacobian matrixes and inverses
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/39Robotics, robotics to robotics hand
    • G05B2219/39064Learn kinematics by ann mapping, map spatial directions to joint rotations

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Automation & Control Theory (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Manipulator (AREA)

Abstract

The present invention provides a kind of multirobot cooperative system rigidity property evaluation method of no attachment device.Stiffness matrix constitution and implementation joint of robot rigidity identification scheme is operated based on robot kinematics' transfer matrix and robot end, obtains the actual joint stiffness of accurate robot.Real-time joint angles are fed back using robotic system software to build robot Jacobian matrix, and the joint stiffness parameter picked out by Jacobian matrix and robot forms multirobot cooperative system Bulk stiffness matrix.Visual representation is carried out to the real-time rigidity of robot by Robot Stiffness matrix ellipsoid, while Robot Stiffness evaluation is carried out for evaluation index from the maximum of system stiffness matrix exgenvalue.The rigidity property based on double KUKA KR_16 robots cooperative systems, which is devised, finally by GUI design interfaces evaluates visualization interface.

Description

A kind of multirobot cooperative system Static stiffness real-time performance evaluation method
Technical field
The invention belongs to processing of robots applied technical field, is related to a kind of industrial robot system's Static stiffness performance evaluation Application technology, particularly it is a kind of for multirobot cooperative system machining accuracy lifting robot system allomeric function evaluation Method.
Background technology
As manufacturing industry is to " intellectuality ", the transformation of " Collaborative ", multiple co-operating autonomous production patterns of robot It will be more widely used.Under high efficiency, high-precision production requirement, what current multirobot coordinated operation system faced One important difficult point is how to lift machining accuracy.Rigidity is to influence the principal element of robot location's precision and dynamic property, It is, it is necessary to which preferably rigidity lifts the resistance to overturning of multi-robot system, so as to be lifted when performing more complicated task Processing of robots precision.It is logical that Robot Stiffness machining posture progress stiffness estimation can be solved effectively for the present Research of rigidity The low problem of precision certainly caused by machining posture.Hoisting machine people's stiffness method of main flow is strengthened by special rigidity at present Device reduces the mismachining tolerance that joint of robot flexible-belt comes.Such method needs to carry out special joint stiffness regulation to robot Design, the versatility of industrial robot application is limited while the design difficulty of robot is added.It is another then pass through Special fixture is clamped and positioned to work piece, reduces limitation of the device initial error to machining accuracy.But the method pair Each work piece all needs special fixture, and its expensive expense brings great puzzlement to industrial production.
Therefore, for existing multirobot application technology, a kind of rational Robot Stiffness method of evaluating performance is proposed The machining accuracy of robot is lifted, the versatility for lifting industrial robot work in-process is significant.
The content of the invention
It is an object of the invention to solve the deficiency in existing multirobot Combined process technology, there is provided a kind of without additional dress The Robot Stiffness performance evaluation scheme put is with hoisting machine people's machining accuracy.It is characterized in that multirobot coordinated operation system Multiple coupled kinematic chain can be formed, is to drive diarthrodial viewpoint, multirobot cooperative system rigidity based on each joint of industrial robot Evaluation problem belongs to the research category of statically indeterminate problem.Machine is implemented based on robot kinematics' matrix and stiffness matrix set up the condition Device person joint rigidity identification scheme obtains the accurate actual joint stiffness of robot, feeds back structure using the real-time joint angles of robot Robot Jacobian matrix is built, multirobot cooperative system integral rigidity is formed by the actual joint of Jacobian matrix and robot Matrix.Visual representation is carried out to the real-time rigidity of robot using Robot Stiffness matrix ellipsoid, it is special from system stiffness matrix The maximum of value indicative is that evaluation index carries out Robot Stiffness evaluation.
To achieve the above object, the present invention uses following technical schemes:
(1) joint of robot rigidity identification scheme is implemented based on robot kinematics' matrix and stiffness matrix set up the condition;
Six-DOF robot end effector matrix general type is as follows:
K is that robot end operates the matrix of rigidity 6 × 6,It is transition matrix of the work piece center to robot base, pe It is motion vector, work piece center is pointed to by robot end,Joint stiffness matrix, J are robot Jacobian matrix.
When machine is subject to processing active force, machine end produces broad sense offset, and robot is formed by power and generalized displacement Rigidity fit equation
Bi is the observing matrix of n groups 6 × 6 in formula (2), and Di is measurement n foots generalized displacement measurement vector.Due to measurement error In the presence of formula (2) can obtain six joint stiffness value c of actual six-DOF robot by least square fittingi(i=1, 2…6)。
(2) real-time multirobot collaboration stiffness matrix is established based on industrial robot practical stiffness value
K=K1+K2…+Kn (3)
The end effector stiffness matrix of individual machine individual human is given in derivation formula (1), whole system is moved Chain link coupling obtains robot system rigidity and the linear superposition of machine individual human stiffness matrix.
(3) visual representation is carried out to the real-time stiffness matrix of robot using matrix ellipsoid;
Robot Stiffness matrix is 6 × 6 real symmetric matrixs, and the relation of robot end's generalized displacement and broad sense force vector is simultaneously It is not one-to-one, but according to matrix kijFormation influences each other the relation of being mutually related, therefore can not intuitively find out machine Rigidity property is good and bad under some posture of device people.For this, we establish Robot Stiffness matrix ellipsoid:
Assuming that robot end is all the time by the broad sense force vector of τ=1
τ·τT=1 (4)
Established by the relation of Robot Generalized force vector and operation stiffness matrix
The expression that formula (5) represents is with the related elliptic equation of matrix K.Above formula can be carried out by three-dimensional drawing software firm The drafting of ellipsoid is spent, this image is loaded into robot control system, can also pass through figure while robot pose is adjusted As rigidity property under intuitively observer robot system current pose.
(4) multirobot cooperative system rigidity property is evaluated
Robot Stiffness matrix can not directly express the quality of Robot Stiffness performance, and the present invention cooperates with for multirobot The multiple coupled characteristic of system, use for reference matrix Ruili business in a matrix with establishing multi-robot system stiffness matrix Ruili business, A scalar directly perceived is obtained, quantization signifying multirobot collaboration rigidity property, functional evaluation is carried out to it whereby.
More machines collaboration stiffness matrix is divided into four submatrixs according to the relation of power and deformation:
Wherein submatrix KfdIt is to characterize linear displacement and the relation before linear force:
Stiffness matrix Ruili business can be represented with the length of vector, derive cooperative system stiffness matrix submatrix KfdIt is auspicious Beautiful business's expression formula, it is the ratio between length square of flat method and end deformation failure in love of robot end's generalized force vector length.
Evaluation index of the stiffness matrix Ruili quotient of calculating as Robot Stiffness matrix, then have:
| f |=H | d | (9)
H expressions cause the external force size that robot cooperative system unit deformation needs apply, and H is bigger, illustrate that structure is resisted Deformability is bigger, and H is smaller, then illustrates that the ability of system attack deformation is poorer.H is d function, is become with d direction change Change, if KTK characteristic value is λ1≤λ1≤…λn, according to KTK property can proveSo we choose K Minimal eigenvalue as rigidity property index I.According to k we can see that the robot collaboration under the configuration of middle joint angles is Rigidity property of uniting is good and bad.
The present invention is compared with prior art compared with thiing have the advantage that:
Joint stiffness identification need to be only carried out to industrial robot can complete follow-up real-time rigidity property evaluation, method step Rapid simple, real-time is good.Domestic and international all kinds of patents is traveled through, the invention belongs to carried out performance point to multi-robot system rigidity first Analysis, and this rigidity property evaluation method is applied in industrialization system of processing by visual software, it has been obviously improved industry Robot system machining accuracy.
Brief description of the drawings
Fig. 1 is dual robot collaboration stiffness system structure flow chart.
Fig. 2 is Six-DOF industrial robot joint stiffness identification schematic diagram.
Fig. 3 is joint of robot real time data processing flow chart.
Fig. 4 is multirobot cooperative system rigidity property visualization interface.
Embodiment
Below with reference to accompanying drawing 1-4 and embodiment, the present invention is described in further detail:
As shown in figure 1, multirobot Combined process system stiffness Performance Appraisal System proposed by the present invention, multiple robots Same workpiece is clamped jointly, and the posture of robot individual cell is selected by multirobot collaboration posture planner.Machine The nominal joint stiffness value of individual human unit can and actual conditions deviation be present, each joint of robot rigidity value is recognized Experiment, obtains actual robot joint stiffness value and is used for follow-up system stiffness analysis.Machine individual human is given according to posture planner The joint angles of unit distribution, build the operation stiffness matrix of machine individual human subelement.Robot is established by derivation formula (3) Body unit operates stiffness matrix and the cumulative relation of systematic collaboration stiffness matrix.Robot is imported in three-dimensional drawing software MATLAB D-H Mo Xing, multirobot collaboration rigidity matrix arithmetic is blended with robot model, form multirobot collaboration rigidity property Visualization result.Collaboration rigidity property index value under current pose is provided simultaneously, judges whether performance index value meets work Skill requirement, if backlog demand, robot individual cell posture is redistributed by multirobot collaboration posture planner, repeated Above-mentioned steps.The optimization process that the change record and planner of Robot Stiffness performance indications distribute in posture.
As shown in Fig. 2 it is joint of robot stiffness parameters device for identifying of the present invention.The nominal joint of robot individual cell Rigidity value can and actual conditions deviation be present, to end deformation error additive effect often lead to machining accuracy change with this hair Bright obtained result is not fully consistent, therefore obtains the key link that actual robot joint stiffness value is the present invention.This hair The bright quiet indirect measurement experiment method of deformation of design obtains this parameter.Mainly include industrial robot unit 1, gripping panel 2, laser Tracker reflection sphere 3, load support 4, outer force regulator 5, laser tracker 6, data processor 7, loading device 8.Tested machine The end gripping panel 2 of device people 1, laser tracker main element reflection sphere 3 and gripping panel 2 to be fixedly connected, by laser with Track instrument 6 obtains the coordinate information of reflection sphere, measures caused deviation after robot end is loaded indirectly.Loading device is by adding Support 4 is carried to form with load adjuster 5 and load weight 8.Robot end is a space three-dimensional vector by external force, is passed through The given rational loading force direction of load adjuster, while the change by loading weight amount reaches the purpose of load change. The change of the quiet deformation of robot is obtained in the following manner:1) posture of robot 1 is adjusted;2) direction of loading force is adjusted;3) Adjust end load.Each robot individual cell joint parameter is finally recognized according to load, posture and the relation of deformation
As shown in figure 3, the machining posture real-time data signal process chart for the present invention.Industrial robot system's software Joint of robot real time data can be provided, it is connected with three-dimensional visualization software MATLAB, carried in real time to MATLAB Robot attitude data, cooperative system algorithm of rigidity is write in MATLAB softwares, according to the machine of real-time delivery during for processing People's machining posture data, the Robot Stiffness performance under being configured using stiffness matrix ellipsoid real time reaction current joint, by soft Part visualization interface shows Robot Stiffness performance.
As shown in figure 4, it is the Robot Stiffness performance visualization interface designed by the visual design software GUI.The boundary Face mainly configures comprising robot individual cell joint angles, multirobot cooperative system rigidity property visualization interface, and Rigidity property desired value is shown under current state.By the display directly perceived of visualization interface, current system can have both been observed three Rigidity property in dimension space in either direction is good and bad, can describe evaluation multirobot by rigidity property quantification of targets again and assist Same rigidity property, while the joint configuration under this interface, power ellipsoid, rigidity property desired value can serve as historical data, refer to Lead the optimization of multirobot cooperative system rigidity property.

Claims (4)

1. implementing joint of robot rigidity identification scheme based on robot kinematics' matrix and stiffness matrix set up the condition, its is specific Step is as follows:
(1) six-DOF robot end effector matrix general type is as follows:
<mrow> <mi>K</mi> <mo>=</mo> <msup> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>I</mi> </mtd> <mtd> <mrow> <mi>S</mi> <mrow> <mo>(</mo> <mmultiscripts> <mi>R</mi> <mi>E</mi> <mi>O</mi> </mmultiscripts> <mo>&amp;CenterDot;</mo> <msub> <mi>p</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow></mrow> </mtd> <mtd> <mi>I</mi> </mtd> </mtr> </mtable> </mfenced> <mi>T</mi> </msup> <mo>&amp;CenterDot;</mo> <msup> <mi>J</mi> <mrow> <mo>-</mo> <mi>T</mi> </mrow> </msup> <mo>&amp;CenterDot;</mo> <msubsup> <mi>K</mi> <mi>&amp;theta;</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>&amp;CenterDot;</mo> <msup> <mi>J</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mo>&amp;CenterDot;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>I</mi> </mtd> <mtd> <mrow> <mi>S</mi> <mrow> <mo>(</mo> <mmultiscripts> <mi>R</mi> <mi>E</mi> <mi>O</mi> </mmultiscripts> <mo>&amp;CenterDot;</mo> <msub> <mi>p</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow></mrow> </mtd> <mtd> <mi>I</mi> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
K is that robot end operates the matrix of rigidity 6 × 6,It is transition matrix of the work piece center to robot base, peIt is position The amount of shifting to, work piece center is pointed to by robot end,Joint stiffness matrix, J are robot Jacobian matrix.
When machine is subject to processing active force, machine end produces broad sense offset, and Robot Stiffness is formed by power and generalized displacement Fit equation
<mrow> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>B</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>B</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>B</mi> <mi>n</mi> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>&amp;times;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>c</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>c</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>c</mi> <mn>6</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>D</mi> <mn>1</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>D</mi> <mn>2</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <mo>.</mo> </mtd> </mtr> <mtr> <mtd> <msub> <mi>D</mi> <mi>n</mi> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
Bi is the observing matrix of n groups 6 × 6 in formula (2), and Di is measurement n foots generalized displacement measurement vector.Due to depositing for measurement error Formula (2) can obtain six joint stiffness value c of actual six-DOF robot by least square fittingi(i=1,2 ... 6)。
(2) real-time multirobot collaboration stiffness matrix is established based on industrial robot practical stiffness value
K=K1+K2…+Kn (3)
The end effector stiffness matrix of individual machine individual human is given in derivation formula (1), motion chain link is carried out to whole system Coupling obtains robot system rigidity and the linear superposition of machine individual human stiffness matrix.
(3) visual representation is carried out to the real-time stiffness matrix of robot using matrix ellipsoid;
Robot Stiffness matrix is 6 × 6 real symmetric matrixs, and robot end's generalized displacement and the relation of broad sense force vector are not Correspondingly, but according to matrix kijFormation influences each other the relation of being mutually related, therefore can not intuitively find out robot Rigidity property is good and bad under some posture.For this, we establish Robot Stiffness matrix ellipsoid:
Assuming that robot end is all the time by the broad sense force vector of τ=1
τ·τT=1 (4)
Established by the relation of Robot Generalized force vector and operation stiffness matrix
<mrow> <msup> <mi>D</mi> <mi>T</mi> </msup> <mo>&amp;CenterDot;</mo> <msup> <mi>K</mi> <mi>T</mi> </msup> <mi>K</mi> <mo>&amp;CenterDot;</mo> <mi>D</mi> <mo>=</mo> <msup> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>x</mi> </mtd> </mtr> <mtr> <mtd> <mi>y</mi> </mtd> </mtr> <mtr> <mtd> <mi>z</mi> </mtd> </mtr> </mtable> </mfenced> <mi>T</mi> </msup> <mo>&amp;CenterDot;</mo> <msup> <mi>K</mi> <mi>T</mi> </msup> <mi>K</mi> <mo>&amp;CenterDot;</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>x</mi> </mtd> </mtr> <mtr> <mtd> <mi>y</mi> </mtd> </mtr> <mtr> <mtd> <mi>z</mi> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow>
The expression that formula (5) represents is with the related elliptic equation of matrix K.It is ellipse that rigidity can be carried out to above formula by three-dimensional drawing software The drafting of ball, this image is loaded into robot control system, also can be straight by image while robot pose is adjusted Rigidity property under the observer robot system current pose of sight.
(4) multirobot cooperative system rigidity property is evaluated
Robot Stiffness matrix can not directly express the quality of Robot Stiffness performance, and the present invention is directed to multirobot cooperative system Multiple coupled characteristic, use for reference matrix Ruili business in a matrix with multi-robot system stiffness matrix Ruili business is established, obtain One scalar directly perceived, quantization signifying multirobot collaboration rigidity property, carries out functional evaluation to it whereby.
More machines collaboration stiffness matrix is divided into four submatrixs according to the relation of power and deformation:
<mrow> <mi>K</mi> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>K</mi> <mrow> <mi>f</mi> <mi>d</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>K</mi> <mrow> <mi>f</mi> <mi>&amp;delta;</mi> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>K</mi> <mrow> <mi>n</mi> <mi>d</mi> </mrow> </msub> </mtd> <mtd> <msub> <mi>K</mi> <mrow> <mi>n</mi> <mi>&amp;delta;</mi> </mrow> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
Wherein submatrix KfdIt is to characterize linear displacement and the relation before linear force:
<mrow> <mi>f</mi> <mo>=</mo> <msub> <mi>K</mi> <mrow> <mi>f</mi> <mi>d</mi> </mrow> </msub> <mo>&amp;CenterDot;</mo> <mi>d</mi> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>k</mi> <mn>11</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>12</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>13</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>k</mi> <mn>21</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>22</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>23</mn> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>k</mi> <mn>31</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>32</mn> </msub> </mtd> <mtd> <msub> <mi>k</mi> <mn>33</mn> </msub> </mtd> </mtr> </mtable> </mfenced> <mo>&amp;CenterDot;</mo> <mi>d</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
Stiffness matrix Ruili business can be represented with the length of vector, derive cooperative system stiffness matrix submatrix KfdRuili business Expression formula, it is the ratio between length square of flat method and end deformation failure in love of robot end's generalized force vector length.
<mrow> <msub> <mi>R</mi> <mi>K</mi> </msub> <mrow> <mo>(</mo> <mi>d</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <mi>f</mi> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mo>|</mo> <mi>d</mi> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <mo>|</mo> <msub> <mi>K</mi> <mrow> <mi>f</mi> <mi>d</mi> </mrow> </msub> <mo>&amp;CenterDot;</mo> <mi>d</mi> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> <mrow> <mo>|</mo> <mi>d</mi> <msup> <mo>|</mo> <mn>2</mn> </msup> </mrow> </mfrac> <mo>=</mo> <mfrac> <mrow> <msup> <mi>d</mi> <mi>T</mi> </msup> <mrow> <mo>(</mo> <msubsup> <mi>K</mi> <mrow> <mi>f</mi> <mi>d</mi> </mrow> <mi>T</mi> </msubsup> <mo>&amp;CenterDot;</mo> <msub> <mi>K</mi> <mrow> <mi>f</mi> <mi>d</mi> </mrow> </msub> <mo>)</mo> </mrow> <mi>d</mi> </mrow> <mrow> <msup> <mi>d</mi> <mi>T</mi> </msup> <mo>&amp;CenterDot;</mo> <mi>d</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Evaluation index of the stiffness matrix Ruili quotient of calculating as Robot Stiffness matrix, then have:
| f |=H | d | (9)
2. according to the method for claim 1, it is characterised in that:In step (1), industrial robot joint rigidity joint scheme Active force or load only need to be applied in robot end, without being measured to joint of robot internal drive element, passed through Least square fitting goes out to meet the joint of robot rigidity of experimental result.
3. according to claim 1, it is characterised in that:In step (2), multirobot collaboration system is derived according to theoretical algorithm The overlaying relation united between Static stiffness and robot individual cell operation rigidity, find the compound matrice of description system stiffness.
4. according to claim 1, it is characterised in that:In step (3) and step (4), it is to collaboration using visual software System rigidity is visualized, and an intuitively rigidity property display platform is provided for operator, and according to rigidity property Optimizing index, quantization signifying go out system stiffness quality, and posture configuration provides judgment criteria is cooperateed with for multirobot.
CN201710683026.4A 2017-08-10 2017-08-10 A kind of multirobot cooperative system Static stiffness real-time performance evaluation method Pending CN107414834A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710683026.4A CN107414834A (en) 2017-08-10 2017-08-10 A kind of multirobot cooperative system Static stiffness real-time performance evaluation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710683026.4A CN107414834A (en) 2017-08-10 2017-08-10 A kind of multirobot cooperative system Static stiffness real-time performance evaluation method

Publications (1)

Publication Number Publication Date
CN107414834A true CN107414834A (en) 2017-12-01

Family

ID=60436984

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710683026.4A Pending CN107414834A (en) 2017-08-10 2017-08-10 A kind of multirobot cooperative system Static stiffness real-time performance evaluation method

Country Status (1)

Country Link
CN (1) CN107414834A (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108621167A (en) * 2018-07-23 2018-10-09 中南大学 A kind of visual servo decoupling control method based on profile side and the interior feature that takes all of
CN110161850A (en) * 2019-04-24 2019-08-23 南京航空航天大学 A kind of identification of industrial robot variable element rigidity and modeling method
CN110193829A (en) * 2019-04-24 2019-09-03 南京航空航天大学 A kind of robot precision's control method of coupled motions and stiffness parameters identification
CN111185915A (en) * 2020-01-10 2020-05-22 上海大学 Layout method of robot drilling system based on rigidity performance
CN111633650A (en) * 2020-05-27 2020-09-08 华中科技大学 Modal coupling flutter suppression method based on robot rigidity characteristic
CN111844017A (en) * 2019-04-24 2020-10-30 精工爱普生株式会社 Display method
CN112091972A (en) * 2020-08-24 2020-12-18 上海大学 Multi-robot system posture and layout method based on rigidity performance
CN113211460A (en) * 2021-05-01 2021-08-06 吉林大学 Device for improving machining rigidity of two single-arm industrial robots in non-contact mode
CN113245722A (en) * 2021-06-17 2021-08-13 昆山华恒焊接股份有限公司 Control method and device of laser cutting robot and storage medium
CN114872045A (en) * 2022-05-12 2022-08-09 中国计量大学 Overall rigidity modeling method for six-axis industrial robot hole making system comprising working tool
CN115781670A (en) * 2022-11-15 2023-03-14 砾合(上海)科技有限公司 Robot drilling pose optimization method comprehensively considering drilling depth and hole wall quality

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108621167A (en) * 2018-07-23 2018-10-09 中南大学 A kind of visual servo decoupling control method based on profile side and the interior feature that takes all of
CN111844017B (en) * 2019-04-24 2024-01-12 精工爱普生株式会社 Display method
CN110161850A (en) * 2019-04-24 2019-08-23 南京航空航天大学 A kind of identification of industrial robot variable element rigidity and modeling method
CN110193829A (en) * 2019-04-24 2019-09-03 南京航空航天大学 A kind of robot precision's control method of coupled motions and stiffness parameters identification
CN110193829B (en) * 2019-04-24 2020-04-07 南京航空航天大学 Robot precision control method for coupling kinematics and rigidity parameter identification
CN110161850B (en) * 2019-04-24 2020-04-07 南京航空航天大学 Variable parameter rigidity identification and modeling method for industrial robot
US11787044B2 (en) 2019-04-24 2023-10-17 Seiko Epson Corporation Display method
WO2020215614A1 (en) * 2019-04-24 2020-10-29 南京航空航天大学 Variable-parameter stiffness identification and modeling method for industrial robot
CN111844017A (en) * 2019-04-24 2020-10-30 精工爱普生株式会社 Display method
US20210347045A1 (en) * 2019-04-24 2021-11-11 Nanjing University Of Aeronautics And Astronautics Variable-parameter stiffness identification and modeling method for industrial robot
US12115669B2 (en) * 2019-04-24 2024-10-15 Nanjing University Of Aeronautics And Astronautics Variable-parameter stiffness identification and modeling method for industrial robot
CN111185915A (en) * 2020-01-10 2020-05-22 上海大学 Layout method of robot drilling system based on rigidity performance
CN111633650A (en) * 2020-05-27 2020-09-08 华中科技大学 Modal coupling flutter suppression method based on robot rigidity characteristic
CN112091972A (en) * 2020-08-24 2020-12-18 上海大学 Multi-robot system posture and layout method based on rigidity performance
CN113211460A (en) * 2021-05-01 2021-08-06 吉林大学 Device for improving machining rigidity of two single-arm industrial robots in non-contact mode
CN113211460B (en) * 2021-05-01 2022-03-15 吉林大学 Device for improving machining rigidity of two single-arm industrial robots in non-contact mode
CN113245722B (en) * 2021-06-17 2021-10-01 昆山华恒焊接股份有限公司 Control method and device of laser cutting robot and storage medium
CN113245722A (en) * 2021-06-17 2021-08-13 昆山华恒焊接股份有限公司 Control method and device of laser cutting robot and storage medium
CN114872045A (en) * 2022-05-12 2022-08-09 中国计量大学 Overall rigidity modeling method for six-axis industrial robot hole making system comprising working tool
CN115781670A (en) * 2022-11-15 2023-03-14 砾合(上海)科技有限公司 Robot drilling pose optimization method comprehensively considering drilling depth and hole wall quality

Similar Documents

Publication Publication Date Title
CN107414834A (en) A kind of multirobot cooperative system Static stiffness real-time performance evaluation method
CN109822574B (en) Industrial robot end six-dimensional force sensor calibration method
Wang et al. A point and distance constraint based 6R robot calibration method through machine vision
CN106112505B (en) Double-shaft-and-hole assembly system and its control method
CN112873199B (en) Robot absolute positioning precision calibration method based on kinematics and spatial interpolation
Hsu et al. A new compensation method for geometry errors of five-axis machine tools
CN108015808B (en) Kinematics calibration method of series-parallel robot
US9418394B2 (en) Operation simulation system of robot system
CN110193829A (en) A kind of robot precision&#39;s control method of coupled motions and stiffness parameters identification
CN105509671B (en) A kind of robot tooling center points scaling method using plane reference plate
CN108406771A (en) A kind of plane restriction error model and robot self-calibrating method
Klimchik et al. Optimal pose selection for calibration of planar anthropomorphic manipulators
US11707842B2 (en) Robot system and coordinate conversion method
Klimchik Enhanced stiffness modeling of serial and parallel manipulators for robotic-based processing of high performance materials
CN111515928B (en) Mechanical arm motion control system
Zhang et al. Calibration of a six-axis parallel manipulator based on BP neural network
JP2011224672A (en) Deriving method and calibration method for tool vector of robot
Klimchik et al. Design of calibration experiments for identification of manipulator elastostatic parameters
Hage et al. Practical consideration on the identification of the kinematic parameters of the Stäubli TX90 robot
CN107696036B (en) Dragging demonstrator for humanoid mechanical arm
CN109740270A (en) The big L/D ratio peg-in-hole assembly system and method predicted and analyzed based on contact force and torque
CN112157654B (en) Optimization method for positioning error of robot machining system
Riemer et al. Evaluation of influence of target location on robot repeatability
Fan et al. Improvement in hole-pose error for aerospace drilling applications based on Hermite surface reconstruction and manifold error similarity
CN110238848B (en) Method for calculating gravity vector under robot coordinate system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20171201

WD01 Invention patent application deemed withdrawn after publication