CN108748147A - A kind of control system and method for ectoskeleton mechanical arm - Google Patents

A kind of control system and method for ectoskeleton mechanical arm Download PDF

Info

Publication number
CN108748147A
CN108748147A CN201810558585.7A CN201810558585A CN108748147A CN 108748147 A CN108748147 A CN 108748147A CN 201810558585 A CN201810558585 A CN 201810558585A CN 108748147 A CN108748147 A CN 108748147A
Authority
CN
China
Prior art keywords
mechanical arm
joint
information
module
ectoskeleton mechanical
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
CN201810558585.7A
Other languages
Chinese (zh)
Inventor
王学谦
杨爽
梁斌
朱晓俊
刘厚德
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.)
Shenzhen Graduate School Tsinghua University
Original Assignee
Shenzhen Graduate School Tsinghua University
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 Shenzhen Graduate School Tsinghua University filed Critical Shenzhen Graduate School Tsinghua University
Priority to CN201810558585.7A priority Critical patent/CN108748147A/en
Publication of CN108748147A publication Critical patent/CN108748147A/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
    • B25J9/161Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/0006Exoskeletons, i.e. resembling a human figure
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1628Programme controls characterised by the control loop
    • B25J9/1633Programme controls characterised by the control loop compliant, force, torque control, e.g. combined with position control

Landscapes

  • Engineering & Computer Science (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Manipulator (AREA)

Abstract

The invention discloses a kind of control systems and method of ectoskeleton mechanical arm, wherein the set-up of control system is in Space teleoperation system, control module is decomposed including motor condition feedback module, moment information module, Track Pick-up module and virtually, motor condition feedback module acquires the position and speed information of the motor in each joint of current time ectoskeleton mechanical arm;Moment information module acquires and handles the sextuple moment information of the end of ectoskeleton mechanical arm to obtain the motion intention of operator;Track Pick-up module calculates the desired locations and desired speed information of the motor in each joint of subsequent time according to the motion intention of operator;The virtual control moment for decomposing control module and calculating each joint of ectoskeleton mechanical arm according to the desired locations and desired speed information of the motor in each joint of subsequent time, follows operator to move to control ectoskeleton mechanical arm.Multiple degrees of freedom ectoskeleton mechanical arm is present invention can be suitably applied to, applicability is good, greatly improves man-machine interaction experience.

Description

A kind of control system and method for ectoskeleton mechanical arm
Technical field
The present invention relates to robot for space teleoperation field more particularly to a kind of ectoskeletons of space-oriented remote operating Mechanical arm control system and method.
Background technology
With the continuous development of mankind's space operation, it is anticipated that future will have a large amount of Space-time idea, space adds Work, Space configuration, space maintenance and repair need of work carry out.Due to the danger and astronaut's life support of space environment The limitation of high cost, robot plays an increasingly important role in aerospace field.However, by mechanism, control The limitation of the support technologies such as system, sensing and artificial intelligence, developing can work from master mode entirely under unknown or complex environment Intelligent robot, be the target being difficult to realize in a short time.Therefore, the prior art, the existing locally autonomous energy of development are made full use of Teleoperation robot (Telerobotics) system that the intelligence of people includes is again a kind of selection that comparison is real by power.
Remote operating (Teleoperation) can be understood as remote-controlled operation on literal.In Teleoperation Systems In, operator is intermittently communicated with the robot at distant end as supervisor, and needs are obtained from the robot system at distant end Primary data information (pdi), while the instructions such as goal task are sent to the robot at distant end, the robot at distant end is according to the finger received It enables, in addition the human perception of itself and intelligence execute task.It can be found that teleoperation robot is the machine that a someone participates in People's locally autonomous control system is related to the interaction of the interaction and machine human and environment of people and robot, it has given full play to people With the respective advantage of robot and perception and the capacity of people have been expanded, therefore has been suffered from aerospace field extensive Application prospect.In solar-system operation, it is only necessary to which ground handling operator and/or the astronaut in cabin carry out robot for space Remote operating, so that it may with tasks such as maintenance or the spacecraft fuel addings of completing space station, even the moon or areographic survey It surveys.The danger that astronaut is brought in cabin is avoided out, the cost of space mission is significantly reduced, and has expanded the detection of the mankind Ability.
Patent document 201510501051.7 discloses a kind of control method of wearable assistance exoskeleton limb mechanism of upper, This approach includes the following steps:(1) this method acquires the signal of the multi-dimension force sensor on forearm first;(2) real-time controller The power of multi-dimension force sensor contact point is converted into the desired speed of point, shoulder joint and elbow joint are obtained by operation Expected angle;(3) real-time controller is according to pid algorithm, operation and the voltage signal for exporting control motor;Motor driver should Voltage signal converts the current signal of motor in order to control;Large arm motor and forearm motor are according to the size of current signal, realization pair The control of shoulder joint and elbow joint motion angle, and then realize the control of the big forearm position of upper limb.But the control method can not It is poor for applicability applied to multiple degrees of freedom ectoskeleton mechanical arm.Patent document 201710799139.0 discloses upper limb power-assisted dermoskeleton Control method, device and the upper limb assistance exoskeleton system of bone obtain the force signal that user sends out by force snesor;According to Exert a force signal, generates the drive signal of motor;According to drive signal, driving motor control machinery structure motion, so that machinery is tied Load movement outside structure drive;In mechanical structure motion process, the feedback signal of mechanical structure is received, according to feedback signal Adjustment drive signal in real time, until feedback signal matches with force signal and/or drive signal.But the control model list One, man-machine interaction experience is poor.
With the fast development of space technology and space technology, the mankind are more deep to the exploration of the outer space, spatial operation Task is also more and more complicated therewith, such as satellite maintenence, in-orbit service, cleaning space trash and construction space station.Due to sky Between task complexity and precision be all continuously improved, to the main hand of remote operating execute complex task control propose higher want It asks.
The disclosure of background above technology contents is only used for design and the technical solution that auxiliary understands the present invention, not necessarily The prior art for belonging to present patent application, no tangible proof show the above present patent application the applying date In the case of disclosed, above-mentioned background technology should not be taken to the novelty and creativeness of evaluation the application.
Invention content
In view of the main hand of exoskeleton-type remote operating in aerospace field huge potentiality and to exoskeleton-type mechanical arm Control requires, and the present invention proposes a kind of ectoskeleton mechanical arm control system and method applied to Space teleoperation.
In order to achieve the above object, the present invention uses following technical scheme:
The invention discloses a kind of control systems of ectoskeleton mechanical arm, and the set-up of control system is in Space teleoperation system In system, the Space teleoperation system further includes ectoskeleton mechanical arm, space multi-freedom robot and data processing module, institute State the control system of ectoskeleton mechanical arm respectively with the ectoskeleton mechanical arm, the space multi-freedom robot and the number It being connected according to processing module, the space multi-freedom robot and the data processing module are connected with each other, wherein:The dermoskeleton The control system of bone mechanical arm includes that motor condition feedback module, moment information module, Track Pick-up module and virtual decompose are controlled Molding block, wherein the motor condition feedback module respectively with the moment information module, the Track Pick-up module and described Virtual to decompose control module connection, the motor condition feedback module is for acquiring each of ectoskeleton mechanical arm described in current time The location information and velocity information of the motor in a joint;The moment information module is for acquiring and handling the ectoskeleton machinery The sextuple moment information of the end of arm is to obtain the motion intention of operator;The Track Pick-up module is used for according to the operation The motion intention of person be calculated the motor in each joint of ectoskeleton mechanical arm described in subsequent time desired locations information and Desired speed information;The virtual control module of decomposing is used for according to each joint of ectoskeleton mechanical arm described in subsequent time The control moment in each joint of the ectoskeleton mechanical arm is calculated in the desired locations information and desired speed information of motor, The operator is followed to move for controlling the ectoskeleton mechanical arm.
Preferably, the ectoskeleton mechanical arm is total to 7 degree of freedom including first to seven freedom, corresponds respectively In seven joints, wherein the first degree of freedom, the second degree of freedom and third degree of freedom correspond to shoulder abduction/interior receipts, shoulder joint respectively Save it is anteflexion/after stretch, shoulder external rotator/inward turning, four-degree-of-freedom and five degree of freedom correspond to respectively elbow joint it is anteflexion/after stretch, it is preceding Double inside arms/inward turning, six degree of freedom and seven freedom correspond to respectively wrist joint it is anteflexion/after stretch, wrist joint ruler partially/oar is inclined.
The invention also discloses a kind of methods controlled ectoskeleton mechanical arm using above-mentioned control system, special Sign is, includes the following steps:
S1:The motor in each joint of ectoskeleton mechanical arm described in the motor condition feedback module acquisition current time Location information and velocity information;
S2:The moment information module acquires and handles the sextuple moment information of the end of the ectoskeleton mechanical arm to obtain To the motion intention of operator;
S3:Ectoskeleton described in subsequent time is calculated according to the motion intention of the operator in the Track Pick-up module The desired locations information and desired speed information of the motor in each joint of mechanical arm;
S4:The virtual control module of decomposing is according to the motor in each joint of ectoskeleton mechanical arm described in subsequent time The control moment in each joint of the ectoskeleton mechanical arm is calculated in desired locations information and desired speed information, with control The ectoskeleton mechanical arm follows the operator to move.
Preferably, step S2 is specially:The moment information module acquires the end of the space multi-freedom robot The force information F contacted with environmentslaveAnd operator is applied to the force information F of the ectoskeleton mechanical arm tail endhuman, will FslaveWith FhumanSuperposition obtains final force information FcompenTo characterize the motion intention of the operator.
Preferably, wherein acquisition operations person is applied to the force information F of the ectoskeleton mechanical arm tail endhumanIncluding following step Suddenly:The location information q of the motor in each joint of the ectoskeleton mechanical arm from the motor condition feedback module is received, The current pose that the ectoskeleton mechanical arm tail end is calculated in conjunction with forward kinematics solution is X, further according to current pose X in institute State the collected practical sextuple moment information F in end of ectoskeleton mechanical armrealIt carries out gravity compensation and F is calculatedhuman
Preferably, step S3 is specifically included:
S31:Each joint of the ectoskeleton mechanical arm under current time t is obtained according to the motor condition feedback module Motor location information q, calculate Jacobian matrix J be:
S32:The force information F that the moment information module is obtainedcompenIt is transformed into each pass of the ectoskeleton mechanical arm The suffered force information vector τ of section:
τ=JTFcompen
S33:Force information vector τ suffered by each joint of the ectoskeleton mechanical arm is converted into position deviation Δ q:
Wherein, K, C respectively represent stiffness parameters and damping parameter, and s is indicated in frequency domain;
S34:Subsequent time desired locations information q is calculatedd=q+ Δ q, then to desired locations information qdDerivation must expire Hope velocity information
Preferably, step S4 is specifically included:
S41:Virtual cropping is distinguished into joint subsystem and connecting rod subsystem in each joint of the ectoskeleton mechanical arm;
S42:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, obtains the control force of each connecting rod subsystem Square;
S43:Kinematics and dynamic analysis is carried out to each joint subsystem, obtains the control force of each joint subsystem Square;
S44:The control moment of the control moment of each connecting rod subsystem and each joint subsystem is overlapped, is obtained The control moment in each joint of the ectoskeleton mechanical arm;
S45:According to the ectoskeleton mechanical arm being calculated each joint control moment to the ectoskeleton machine The motor in each joint of tool arm is controlled follows the operator to move to control the ectoskeleton mechanical arm.
Preferably, it is wherein specifically included in step S42:
S421:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, calculates the torque of each connecting rod subsystem Vector:
Wherein, ksiIt is a symmetric positive definite gain matrix,It is a regression matrix,It is an estimation Parameter vector, { BiIndicate Virtual cropping after each connecting rod subsystem coordinate system, WithIt is to connect respectively Pipe subsystem is in coordinate system { BiUnder linear velocity vector sum angular velocity vector,It is in coordinate system { BiUnder required line/ Angular velocity vector,It is the torque vector of connecting rod subsystem, n is the quantity in the joint of the ectoskeleton mechanical arm;
S422:According to the torque of each connecting rod subsystem vector, each connecting rod subsystem is obtained in coordinate system { B1}、 {B2}…{B7Under needed for power/torque vector:
Wherein,For power/torque transfer matrix;
S423:The force information of each connecting rod subsystem is extracted, the control moment of each connecting rod subsystem is obtained:
Wherein, [0 0000 1] z=T
Preferably, the control moment of each joint subsystem wherein in step S43 is:
Wherein,θai=[Jmi kci kυi ci]T, kaiIndicate feedback oscillator,For θai's Estimation,Velocity vector needed for indicating;Vector acceleration needed for indicating,Indicate the velocity vector at the current time of motor condition feedback module acquisition;JmiIt indicates equivalent mass or turns Dynamic inertia, kci> 0 indicates coulomb friction coefficient, kvi> 0 indicates viscosity friction coefficient, ciIndicate the offset of asymmetric static friction Amount.
Preferably, the control moment in each joint of the ectoskeleton mechanical arm wherein obtained in step S44 is:
Compared with prior art, the beneficial effects of the present invention are:The control system of ectoskeleton mechanical arm disclosed by the invention System includes motor condition feedback module, moment information module, Track Pick-up module and virtually decomposes control module, wherein passing through power Square information module acquires and handles the sextuple torque sensor of ectoskeleton mechanical arm tail end to obtain the motion intention of operator, and Desired locations information and the expectation of the motor in each joint of subsequent time ectoskeleton mechanical arm are obtained according to Track Pick-up module Velocity information obtains the control moment in each joint of ectoskeleton mechanical arm to control finally by control module is virtually decomposed Ectoskeleton mechanical arm so that when executing Space teleoperation task, ectoskeleton mechanical arm is enable to respond quickly and follows operator The arm of operator moves, and realizes that nature intuitively controls robot, and can be adapted for multiple degrees of freedom ectoskeleton machine Tool arm, applicability is good, greatly improves man-machine interaction experience.
Description of the drawings
Fig. 1 is the composition schematic diagram of the Space teleoperation system of the preferred embodiment of the present invention;
Fig. 2 is the structure composition figure of the ectoskeleton mechanical arm of the preferred embodiment of the present invention;
Fig. 3 is the fundamental diagram of the moment information module of the preferred embodiment of the present invention;
Fig. 4 is the fundamental diagram of the Track Pick-up module of the preferred embodiment of the present invention;
Fig. 5 is that the ectoskeleton mechanical arm of the preferred embodiment of the present invention virtually resolves into the schematic diagram of subsystem;
Specific implementation mode
Below against attached drawing and in conjunction with preferred embodiment, the invention will be further described.
As shown in Figure 1, the preferred embodiment of the present invention discloses a kind of Space teleoperation system 100, including ectoskeleton machinery Arm 10, ectoskeleton mechanical arm control system 20, space multi-freedom robot 30 and data processing module 40.Wherein ectoskeleton machine Tool arm 10 is the main hand of Space teleoperation system 100, after operator 200 dresses ectoskeleton mechanical arm 10, control ectoskeleton machinery Arm 10 follows the upper extremity exercise of operator 200;Data processing module 40 receives the motor in each joint of ectoskeleton mechanical arm 10 Location information is converted into the joint angle of space multi-freedom robot 30 after data processing, and is sent to Space teleoperation System 100 from end (space multi-freedom robot 30), realize the function of remote operating.
Wherein ectoskeleton mechanical arm control system 20 includes motor condition feedback module 21, moment information module 22, track Generation module 23 and virtual decomposition control module 24, motor condition feedback module 21 are given birth to moment information module 22, track respectively It connects at module 23 and virtual control module 24 of decomposing, and decomposes to moment information module 22, Track Pick-up module 23 and virtually Control module 24 transmits data, and the arrow direction in Fig. 1 is the direction of transfer of data;Wherein motor condition feedback module 21 Acquire the location information and velocity information of the motor in seven joints of ectoskeleton mechanical arm 10;Moment information module 22 acquires and locates The sextuple moment information for managing 10 end of ectoskeleton mechanical arm, obtains the motion intention of 200 arm of operator;Track Pick-up module 23 The expectation position of the motor in seven joints of subsequent time ectoskeleton mechanical arm 10 is obtained according to the motion intention of 200 arm of operator Confidence ceases and desired speed information;Each pass is calculated according to the information of Track Pick-up module 23 in virtual control module 24 of decomposing The control moment of section, the final ectoskeleton mechanical arm 10 that controls quickly follow 200 arm motion of operator.
The kinematic system of human upper limb connects the labyrinth formed by bone, skeletal muscle and bone.From the angle of mechanical modeling From the point of view of degree, human upper limb can be regarded as a series connection mechanical arm with multiple degree of freedom, including large arm, forearm and hand, lead to Shoulder joint, elbow joint and carpal interconnection and cooperation are crossed, complicated spatial movement is completed.According to human dissection biology Research and human motion characteristic analysis, shoulder joint be reduced to the movable joint with three degree of freedom, be respectively completed flexion and extension, It takes down the exhibits movement and rotary motion;Elbow joint completes the movement of two spaces degree of freedom, respectively flexion and extension and rotary motion;It will Wrist joint is considered as the joint with degree of freedom, respectively flexion and extension and rotary motion.As shown in Fig. 2, in the present embodiment, outside Bone mechanical arm 10 is formed according to human arm structure design, has 7 degree of freedom (corresponding to seven joints), difference first Degree of freedom 1, the second degree of freedom 2, third degree of freedom 3, four-degree-of-freedom 4, five degree of freedom 5, six degree of freedom 6 and the 7th are freely Degree 7, wherein before the first degree of freedom 1, the second degree of freedom 2 and third degree of freedom 3 correspond to shoulder abduction/interior receipts, shoulder joint respectively Bend/after stretch, shoulder external rotator/inward turning, four-degree-of-freedom 4 and five degree of freedom 5 correspond to respectively elbow joint it is anteflexion/after stretch, forearm Outward turning/inward turning, six degree of freedom 6 and seven freedom 7 correspond to respectively wrist joint it is anteflexion/after stretch, wrist joint ruler partially/oar is inclined;Six Dimension torque sensor 8 is arranged in the end of ectoskeleton mechanical arm 10.
The control method of ectoskeleton mechanical arm control system 20 includes the following steps:
S1:Motor condition feedback module 21 acquires ectoskeleton mechanical arm 10 at current time t by photoelectric encoder The location information q and velocity information of the motor in seven joints
S2:Moment information module 22 receives the force information contacted with environment from the end of space multi-freedom robot 30 FslaveAnd the force information F of 10 end of ectoskeleton mechanical arm is applied to from 200 hand of operatorhuman, by FslaveWith FhumanIt is folded Add to obtain final force information FcompenTo characterize the motion intention of the operator;
Wherein, due to the characteristic of torque sensor itself, there is different initial values under different poses;When current It carves under t, the practical sextuple moment information of the sextuple torque sensor 8 in Fig. 2 is Freal;At this time according to motor condition feedback module The location information q of the motor in 21 seven joints at current time t, ectoskeleton mechanical arm is calculated in conjunction with forward kinematics solution The current pose of torque sensor of 10 ends is X, further according to current pose X to practical sextuple moment information FrealCarry out gravity benefit It repays and F is calculatedhuman, pass through force information FhumanIt can reflect that 200 hand of operator is applied to the true of ectoskeleton mechanical arm 10 Power size and Orientation.In conjunction with Fig. 3, finally by FslaveWith FhumanSuperposition obtains Fcompen(Fcompen=Fhuman-Fslave) to characterize State the motion intention of operator.
S3:The force information F that Track Pick-up module 23 is obtained according to moment information module 22compen, calculate subsequent time when outside The desired locations information q of the motor in each joint of bone mechanical arm 10dWith desired speed information
As shown in figure 4, step S3 includes the following steps:
S31:The location information q of the motor in seven joints under current time t is obtained according to motor condition feedback module 21, Calculating Jacobian matrix J is:
Wherein, X is the current pose of torque sensor of 10 end of ectoskeleton mechanical arm;
S32:The force information F that moment information module 22 is obtainedcompenIt is transformed into the force information vector τ suffered by each joint:
τ=JTFcompen
Also i.e. by the transposed matrix of Jacobian matrix and force information FcompenMultiplication obtains force information vector τ;
S33:According to the impedance model of system, the force information vector τ suffered by each joint is converted into position deviation Δ q:
Wherein, K, C respectively represent the stiffness parameters and damping parameter of system, and s is indicated in frequency domain;
S34:According to the location information q of the motor in seven joints under current time t, in addition position deviation Δ q, calculates To subsequent time desired locations information qd, then to desired locations information qdDerivation obtains desired speed information
qd=q+ Δs q.
S4:The desired locations of the motor in each joint that virtual decomposition control module 24 is obtained according to Track Pick-up module 23 Information qdWith desired speed informationThe control moment in each joint is calculated, the final ectoskeleton mechanical arm 10 that controls quickly follows 200 arm motion of operator.
Step S4 specifically includes following steps:
S41:As shown in figure 5, each joint of seven freedom ectoskeleton mechanical arm is cut from Virtual cropping point 300 It cuts, joint subsystem and connecting rod subsystem is respectively cut into, wherein the first joint subsystem~the 7th joint subsystem 101, 102,103 ..., 107 and first connecting rod subsystem~seven-link assembly subsystem 201,202,203 ..., 207 alternately connect successively It connects;
S42:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, obtains the control force of each connecting rod subsystem Square specifically includes following steps:
S421:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, calculates the torque of each connecting rod subsystem Vector:
Wherein, ksiIt is a symmetric positive definite gain matrix,It is a regression matrix,It is an estimation Parameter vector, { BiIndicate Virtual cropping after each connecting rod subsystem coordinate system, WithIt is to connect respectively Pipe subsystem is in coordinate system { BiUnder linear velocity vector sum angular velocity vector,It is in coordinate system { BiUnder required line/ Angular velocity vector,It is the torque vector of connecting rod subsystem;
S422:According to the torque of each connecting rod subsystem vector, each connecting rod subsystem is obtained in coordinate system { B1}、 {B2}…{B7Under required power/torque vector:
Wherein,For power/torque transfer matrix;
S423:The force information of each connecting rod subsystem is extracted, the control moment of each connecting rod subsystem is obtained:
Wherein, [0 0000 1] z=T
S43:Kinematics and dynamic analysis is carried out to each joint subsystem, obtains the control force of each joint subsystem Square:
Wherein,θai=[Jmi kci kυi ci]T, kaiIndicate feedback oscillator,For θai's Estimation,Velocity vector needed for indicating;Vector acceleration needed for indicating,Indicate the velocity vector under the current time t of motor condition feedback module acquisition;JmiIndicate equivalent mass Or rotary inertia, kci> 0 indicates coulomb friction coefficient, kvi> 0 indicates viscosity friction coefficient, ciIndicate asymmetric static friction Offset.
S45:The control moment of the control moment of each connecting rod subsystem and each joint subsystem is overlapped, is obtained The control moment in each joint of the ectoskeleton mechanical arm;
S45:It is outer to control according to the motor in each joint for the control moment control ectoskeleton mechanical arm 10 being calculated Bone mechanical arm follows operator's arm motion.
The control system and method for the ectoskeleton mechanical arm of the preferred embodiment of the present invention pass through ectoskeleton mechanical arm tail end Torque sensor obtains the motion intention of operator, and how free from end spaces according to the end Pose Control of the main hand of remote operating The movement for spending robot intuitively controls robot to more natural;Wherein in moment information module, calculated by gravity compensation Method obtains operator and really exerts a force size and Orientation;It, will using the transposed matrix of Jacobian matrix in track generation module End force information decomposes each joint;It decomposes control using virtual and executes space tasks to adapt to different operators, it can be with Suitable for multiple degrees of freedom ectoskeleton mechanical arm, applicability is good, greatly improves man-machine interaction experience.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that The specific implementation of the present invention is confined to these explanations.For those skilled in the art to which the present invention belongs, it is not taking off Under the premise of from present inventive concept, several equivalent substitute or obvious modifications can also be made, and performance or use is identical, all answered When being considered as belonging to protection scope of the present invention.

Claims (10)

1. a kind of control system of ectoskeleton mechanical arm, which is characterized in that the set-up of control system is in Space teleoperation system In, the Space teleoperation system further includes ectoskeleton mechanical arm, space multi-freedom robot and data processing module, described The control system of ectoskeleton mechanical arm respectively with the ectoskeleton mechanical arm, the space multi-freedom robot and the data Processing module connects, and the space multi-freedom robot and the data processing module are connected with each other, wherein:
The control system of the ectoskeleton mechanical arm includes motor condition feedback module, moment information module, Track Pick-up module Control module is decomposed with virtual, wherein the motor condition feedback module is given birth to the moment information module, the track respectively It is connected with the virtual decomposition control module at module, the motor condition feedback module is for acquiring dermoskeleton described in current time The location information and velocity information of the motor in each joint of bone mechanical arm;The moment information module is for acquiring and handling institute The sextuple moment information of the end of ectoskeleton mechanical arm is stated to obtain the motion intention of operator;The Track Pick-up module is used for The phase of the motor in each joint of ectoskeleton mechanical arm described in subsequent time is calculated according to the motion intention of the operator Hope location information and desired speed information;The virtual decomposition control module is used for according to ectoskeleton mechanical arm described in subsequent time Each joint motor desired locations information and desired speed information each pass of the ectoskeleton mechanical arm is calculated The control moment of section follows the operator to move for controlling the ectoskeleton mechanical arm.
2. control system according to claim 1, which is characterized in that the ectoskeleton mechanical arm include first to the 7th from By spending 7 degree of freedom altogether, corresponded respectively in seven joints, wherein the first degree of freedom, the second degree of freedom and third degree of freedom Correspond to that shoulder abduction/interior is received, shoulder joint is anteflexion respectively/after stretch, shoulder external rotator/inward turning, four-degree-of-freedom and the 5th is freely Degree correspond to respectively elbow joint it is anteflexion/after stretch, preceding double inside arms/inward turning, six degree of freedom and seven freedom correspond to wrist joint respectively It is anteflexion/after stretch, wrist joint ruler partially/oar is inclined.
3. a kind of method that ectoskeleton mechanical arm is controlled using claim 1 to 2 any one of them control system, It is characterized in that, includes the following steps:
S1:The position of the motor in each joint of ectoskeleton mechanical arm described in the motor condition feedback module acquisition current time Information and velocity information;
S2:The moment information module acquires and handles the sextuple moment information of the end of the ectoskeleton mechanical arm to be grasped The motion intention of author;
S3:Ectoskeleton machinery described in subsequent time is calculated according to the motion intention of the operator in the Track Pick-up module The desired locations information and desired speed information of the motor in each joint of arm;
S4:The virtual expectation for decomposing control module according to the motor in each joint of ectoskeleton mechanical arm described in subsequent time The control moment in each joint of the ectoskeleton mechanical arm is calculated in location information and desired speed information, described in control Ectoskeleton mechanical arm follows the operator to move.
4. according to the method described in claim 3, it is characterized in that, step S2 is specially:The moment information module acquires institute State the end of space multi-freedom robot and force information F that environment contactsslaveAnd operator is applied to the ectoskeleton machine The force information F of tool arm endhuman, by FslaveWith FhumanSuperposition obtains final force information FcompenTo characterize the operator's Motion intention.
5. according to the method described in claim 4, it is characterized in that, wherein acquisition operations person is applied to the ectoskeleton mechanical arm The force information F of endhumanInclude the following steps:Receive the ectoskeleton mechanical arm from the motor condition feedback module The present bit of the ectoskeleton mechanical arm tail end is calculated in conjunction with forward kinematics solution by the location information q of the motor in each joint Appearance is X, further according to current pose X in the collected practical sextuple moment information F in the end of the ectoskeleton mechanical armrealInto F is calculated in row gravity compensationhuman
6. according to the method described in claim 5, it is characterized in that, step S3 is specifically included:
S31:The electricity in each joint of the ectoskeleton mechanical arm under current time t is obtained according to the motor condition feedback module The location information q of machine, calculating Jacobian matrix J is:
S32:The force information F that the moment information module is obtainedcompenIt is transformed into each joint institute of the ectoskeleton mechanical arm The force information vector τ received:
τ=JTFcompen
S33:Force information vector τ suffered by each joint of the ectoskeleton mechanical arm is converted into position deviation Δ q:
Wherein, K, C respectively represent stiffness parameters and damping parameter, and s is indicated in frequency domain;
S34:Subsequent time desired locations information q is calculatedd=q+ Δ q, then to desired locations information qdDerivation obtains it is expected speed Spend information
7. according to the method described in claim 3, it is characterized in that, step S4 is specifically included:
S41:Virtual cropping is distinguished into joint subsystem and connecting rod subsystem in each joint of the ectoskeleton mechanical arm;
S42:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, obtains the control moment of each connecting rod subsystem;
S43:Kinematics and dynamic analysis is carried out to each joint subsystem, obtains the control moment of each joint subsystem;
S44:The control moment of the control moment of each connecting rod subsystem and each joint subsystem is overlapped, is obtained described The control moment in each joint of ectoskeleton mechanical arm;
S45:According to the ectoskeleton mechanical arm being calculated each joint control moment to the ectoskeleton mechanical arm The motor in each joint controlled and follow the operator to move to control the ectoskeleton mechanical arm.
8. the method according to the description of claim 7 is characterized in that being specifically included in wherein step S42:
S421:Kinematics and dynamic analysis is carried out to each connecting rod subsystem, calculates the torque vector of each connecting rod subsystem:
Wherein, ksiIt is a symmetric positive definite gain matrix,It is a regression matrix,It is the parameter of an estimation Vector, { BiIndicate Virtual cropping after each connecting rod subsystem coordinate system, WithIt is connecting rod respectively System is in coordinate system { BiUnder linear velocity vector sum angular velocity vector,It is in coordinate system { BiUnder required line/angle speed Degree vector,It is the torque vector of connecting rod subsystem, n is the quantity in the joint of the ectoskeleton mechanical arm;
S422:According to the torque of each connecting rod subsystem vector, each connecting rod subsystem is obtained in coordinate system { B1}、{B2}… {B7Under needed for power/torque vector:
Wherein,For power/torque transfer matrix;
S423:The force information of each connecting rod subsystem is extracted, the control moment of each connecting rod subsystem is obtained:
Wherein, [0 0000 1] z=T
9. according to the method described in claim 8, it is characterized in that, the control of each joint subsystem in wherein step S43 Torque is:
Wherein,θai=[Jmi kci kυi ci]T, kaiIndicate feedback oscillator,For θaiEstimate Meter,Velocity vector needed for indicating;Vector acceleration needed for indicating,Indicate the velocity vector at the current time of motor condition feedback module acquisition;JmiIt indicates equivalent mass or turns Dynamic inertia, kci> 0 indicates coulomb friction coefficient, kvi> 0 indicates viscosity friction coefficient, ciIndicate the offset of asymmetric static friction Amount.
10. according to the method described in claim 9, it is characterized in that, the ectoskeleton mechanical arm obtained in wherein step S44 The control moment in each joint be:
CN201810558585.7A 2018-06-01 2018-06-01 A kind of control system and method for ectoskeleton mechanical arm Pending CN108748147A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810558585.7A CN108748147A (en) 2018-06-01 2018-06-01 A kind of control system and method for ectoskeleton mechanical arm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810558585.7A CN108748147A (en) 2018-06-01 2018-06-01 A kind of control system and method for ectoskeleton mechanical arm

Publications (1)

Publication Number Publication Date
CN108748147A true CN108748147A (en) 2018-11-06

Family

ID=64002190

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810558585.7A Pending CN108748147A (en) 2018-06-01 2018-06-01 A kind of control system and method for ectoskeleton mechanical arm

Country Status (1)

Country Link
CN (1) CN108748147A (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109597437A (en) * 2018-12-06 2019-04-09 中国科学院长春光学精密机械与物理研究所 Based on velocity sensor and differentiator power haptic interaction control method and device
CN109634100A (en) * 2018-12-30 2019-04-16 深圳市优必选科技有限公司 Humanoid Robot Based on Walking acceleration compensation method, apparatus and anthropomorphic robot
CN110394801A (en) * 2019-08-06 2019-11-01 前元运立(北京)机器人智能科技有限公司 A kind of joint control system of robot
CN110802592A (en) * 2019-11-05 2020-02-18 中国船舶重工集团公司第七0七研究所 Exoskeleton robot electro-hydraulic servo control system and method based on impedance control
CN111053613A (en) * 2019-12-10 2020-04-24 联博智能科技有限公司 Motion tracking method and device, mechanical arm and computer readable storage medium
CN111376263A (en) * 2018-12-29 2020-07-07 沈阳新松机器人自动化股份有限公司 Human-computer cooperation system of compound robot and cross coupling force control method thereof
CN111682803A (en) * 2020-06-10 2020-09-18 四川大学 Multi-path direct current motor control system of flexible mechanical arm
CN112207801A (en) * 2020-08-27 2021-01-12 深拓科技(深圳)有限公司 Control device, control system and control method of robot
CN112476456A (en) * 2020-11-25 2021-03-12 浙江工业大学 Arm-wing cooperative variant control system and control method for simulating bird prey
CN112621715A (en) * 2020-12-08 2021-04-09 深圳市迈步机器人科技有限公司 Upper limb exoskeleton control method and control device based on voice input
CN112674875A (en) * 2020-12-24 2021-04-20 上海交通大学医学院附属第九人民医院 Mechanical arm force feedback system, method, control method and control terminal
CN112914729A (en) * 2021-03-25 2021-06-08 江苏集萃复合材料装备研究所有限公司 Intelligent auxiliary positioning bone surgery robot system and operation method thereof
CN113084816A (en) * 2021-04-14 2021-07-09 中国核电工程有限公司 Novel intelligent master-slave manipulator force feedback control method and system
CN114129399A (en) * 2021-11-30 2022-03-04 南京伟思医疗科技股份有限公司 Online moment generator for exoskeleton robot passive training
CN114260878A (en) * 2021-07-06 2022-04-01 深圳市越疆科技有限公司 Method and device for dragging teaching speed limit of mechanical arm joint, electronic equipment and medium
CN114432663A (en) * 2022-01-30 2022-05-06 中航创世机器人(西安)有限公司 Six-degree-of-freedom upper limb rehabilitation robot and gravity compensation method thereof
CN114474107A (en) * 2022-03-07 2022-05-13 西湖大学 Remote multi-machine control system and method for exoskeleton robot
CN114619437A (en) * 2020-12-08 2022-06-14 山东新松工业软件研究院股份有限公司 Flexible impedance control method for redundant multi-joint robot
CN114654470A (en) * 2022-04-19 2022-06-24 湖北工业大学 Upper limb exoskeleton system cooperative follow-up control method based on active disturbance rejection control strategy
CN116494249A (en) * 2023-06-26 2023-07-28 极限人工智能(北京)有限公司 Real-time manual control device, control method and cooperation system of cooperation mechanical arm
CN117464691A (en) * 2023-12-27 2024-01-30 中国科学院自动化研究所 Rebound prevention control method, rebound prevention control device, electronic equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080009771A1 (en) * 2006-03-29 2008-01-10 Joel Perry Exoskeleton
CN101336848A (en) * 2008-08-22 2009-01-07 中国人民解放军海军航空工程学院 Man machine exoskeleton system and force control device thereof

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080009771A1 (en) * 2006-03-29 2008-01-10 Joel Perry Exoskeleton
CN101336848A (en) * 2008-08-22 2009-01-07 中国人民解放军海军航空工程学院 Man machine exoskeleton system and force control device thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨爽等: "Virtual Decomposition Control of a 3 DOFs Exoskeleton Robot for Space Teleoperation", 《PROCEEDINGS OF THE 2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION》 *
郝雄波: "外骨骼遥操作主手的设计研究", 《中国优秀硕士学位论文全文库信息科技辑2015年第1期》 *

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109597437A (en) * 2018-12-06 2019-04-09 中国科学院长春光学精密机械与物理研究所 Based on velocity sensor and differentiator power haptic interaction control method and device
CN109597437B (en) * 2018-12-06 2020-07-21 中国科学院长春光学精密机械与物理研究所 Haptic interaction control method and device based on speed sensor and differentiator force
CN111376263A (en) * 2018-12-29 2020-07-07 沈阳新松机器人自动化股份有限公司 Human-computer cooperation system of compound robot and cross coupling force control method thereof
CN111376263B (en) * 2018-12-29 2022-08-02 沈阳新松机器人自动化股份有限公司 Human-computer cooperation system of compound robot and cross coupling force control method thereof
CN109634100B (en) * 2018-12-30 2021-11-02 深圳市优必选科技有限公司 Humanoid robot walking acceleration compensation method and device and humanoid robot
CN109634100A (en) * 2018-12-30 2019-04-16 深圳市优必选科技有限公司 Humanoid Robot Based on Walking acceleration compensation method, apparatus and anthropomorphic robot
CN110394801A (en) * 2019-08-06 2019-11-01 前元运立(北京)机器人智能科技有限公司 A kind of joint control system of robot
CN110802592A (en) * 2019-11-05 2020-02-18 中国船舶重工集团公司第七0七研究所 Exoskeleton robot electro-hydraulic servo control system and method based on impedance control
CN110802592B (en) * 2019-11-05 2022-07-26 中国船舶重工集团公司第七0七研究所 Exoskeleton robot electro-hydraulic servo control system and method based on impedance control
CN111053613B (en) * 2019-12-10 2020-10-13 联博智能科技有限公司 Motion tracking method and device, mechanical arm and computer readable storage medium
CN111053613A (en) * 2019-12-10 2020-04-24 联博智能科技有限公司 Motion tracking method and device, mechanical arm and computer readable storage medium
CN111682803A (en) * 2020-06-10 2020-09-18 四川大学 Multi-path direct current motor control system of flexible mechanical arm
CN112207801A (en) * 2020-08-27 2021-01-12 深拓科技(深圳)有限公司 Control device, control system and control method of robot
CN112476456A (en) * 2020-11-25 2021-03-12 浙江工业大学 Arm-wing cooperative variant control system and control method for simulating bird prey
CN112476456B (en) * 2020-11-25 2022-03-25 浙江工业大学 Arm-wing cooperative variant control system and control method for simulating bird prey
CN112621715B (en) * 2020-12-08 2022-03-08 深圳市迈步机器人科技有限公司 Upper limb exoskeleton control method and control device based on voice input
CN114619437A (en) * 2020-12-08 2022-06-14 山东新松工业软件研究院股份有限公司 Flexible impedance control method for redundant multi-joint robot
CN112621715A (en) * 2020-12-08 2021-04-09 深圳市迈步机器人科技有限公司 Upper limb exoskeleton control method and control device based on voice input
CN112674875A (en) * 2020-12-24 2021-04-20 上海交通大学医学院附属第九人民医院 Mechanical arm force feedback system, method, control method and control terminal
CN112674875B (en) * 2020-12-24 2022-06-07 上海交通大学医学院附属第九人民医院 Mechanical arm force feedback system, method, control method and control terminal
CN112914729A (en) * 2021-03-25 2021-06-08 江苏集萃复合材料装备研究所有限公司 Intelligent auxiliary positioning bone surgery robot system and operation method thereof
CN113084816A (en) * 2021-04-14 2021-07-09 中国核电工程有限公司 Novel intelligent master-slave manipulator force feedback control method and system
CN114260878A (en) * 2021-07-06 2022-04-01 深圳市越疆科技有限公司 Method and device for dragging teaching speed limit of mechanical arm joint, electronic equipment and medium
CN114129399A (en) * 2021-11-30 2022-03-04 南京伟思医疗科技股份有限公司 Online moment generator for exoskeleton robot passive training
CN114129399B (en) * 2021-11-30 2024-04-12 南京伟思医疗科技股份有限公司 Online moment generator for passive training of exoskeleton robot
CN114432663A (en) * 2022-01-30 2022-05-06 中航创世机器人(西安)有限公司 Six-degree-of-freedom upper limb rehabilitation robot and gravity compensation method thereof
CN114474107A (en) * 2022-03-07 2022-05-13 西湖大学 Remote multi-machine control system and method for exoskeleton robot
CN114474107B (en) * 2022-03-07 2024-05-28 西湖大学 Remote multi-machine control method for exoskeleton robot
CN114654470A (en) * 2022-04-19 2022-06-24 湖北工业大学 Upper limb exoskeleton system cooperative follow-up control method based on active disturbance rejection control strategy
CN114654470B (en) * 2022-04-19 2023-04-28 湖北工业大学 Upper limb exoskeleton system cooperative follow-up control method based on active disturbance rejection control strategy
CN116494249A (en) * 2023-06-26 2023-07-28 极限人工智能(北京)有限公司 Real-time manual control device, control method and cooperation system of cooperation mechanical arm
CN116494249B (en) * 2023-06-26 2023-12-19 极限人工智能(北京)有限公司 Real-time manual control device, control method and cooperation system of cooperation mechanical arm
CN117464691A (en) * 2023-12-27 2024-01-30 中国科学院自动化研究所 Rebound prevention control method, rebound prevention control device, electronic equipment and storage medium
CN117464691B (en) * 2023-12-27 2024-03-22 中国科学院自动化研究所 Rebound prevention control method, rebound prevention control device, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN108748147A (en) A kind of control system and method for ectoskeleton mechanical arm
Li et al. Asymmetric bimanual control of dual-arm exoskeletons for human-cooperative manipulations
Mohan et al. Indirect adaptive control of an autonomous underwater vehicle-manipulator system for underwater manipulation tasks
CN106054599B (en) A kind of delay control method of master-slave mode submarine mechanical arm
JP2010188471A (en) Robot apparatus and method of controlling the same, and computer program
CN103302668A (en) Kinect-based space teleoperation robot control system and method thereof
Darvish et al. Whole-body geometric retargeting for humanoid robots
Kawasaki et al. Decentralized adaptive coordinated control of multiple robot arms without using a force sensor
Spong et al. Control in robotics
CN112828916B (en) Remote operation combined interaction device for redundant mechanical arm and remote operation system for redundant mechanical arm
KR20150142796A (en) Method and system for controlling elbow of robot
Soylu et al. Comprehensive underwater vehicle-manipulator system teleoperation
You et al. Semi-autonomous bilateral teleoperation of hexapod robot based on haptic force feedback
Bergamasco et al. Exoskeletons as man-machine interface systems for teleoperation and interaction in virtual environments
Li et al. Distributed neural-network-based cooperation control for teleoperation of multiple mobile manipulators under round-robin protocol
Li et al. A novel bilateral haptic teleoperation approach for hexapod robot walking and manipulating with legs
Yousefi-Koma et al. Surenaiv: Towards a cost-effective full-size humanoid robot for real-world scenarios
Guo et al. Adaptive neural network control for coordinated motion of a dual-arm space robot system with uncertain parameters
Jamisola Jr et al. Modular relative jacobian for combined 3-arm parallel manipulators
He et al. Ring coupling-based collaborative fault-tolerant control for multi-robot actuator fault
Seo et al. Design of general-purpose assistive exoskeleton robot controller for upper limbs
Liu et al. A space robot manipulator system: designed for capture
Zhong et al. Inverse Kinematics Analysis of Humanoid Robot Arm by Fusing Denavit–Hartenberg and Screw Theory to Imitate Human Motion With Kinect
Yang et al. Virtual decomposition control of a 3 DOFs exoskeleton robot for space teleoperation
Wei et al. Robotic skills learning based on dynamical movement primitives using a wearable device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20181106