CN109240343A - A kind of Sheng Xi robot approaches object pose integrated control method - Google Patents

A kind of Sheng Xi robot approaches object pose integrated control method Download PDF

Info

Publication number
CN109240343A
CN109240343A CN201811051832.0A CN201811051832A CN109240343A CN 109240343 A CN109240343 A CN 109240343A CN 201811051832 A CN201811051832 A CN 201811051832A CN 109240343 A CN109240343 A CN 109240343A
Authority
CN
China
Prior art keywords
gripper
tether
follows
robot
sheng
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.)
Granted
Application number
CN201811051832.0A
Other languages
Chinese (zh)
Other versions
CN109240343B (en
Inventor
黄攀峰
胡永新
孟中杰
刘正雄
张夷斋
董刚奇
张帆
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.)
Northwestern Polytechnical University
Original Assignee
Northwestern Polytechnical 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 Northwestern Polytechnical University filed Critical Northwestern Polytechnical University
Priority to CN201811051832.0A priority Critical patent/CN109240343B/en
Publication of CN109240343A publication Critical patent/CN109240343A/en
Application granted granted Critical
Publication of CN109240343B publication Critical patent/CN109240343B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/12Target-seeking control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1612Programme controls characterised by the hand, wrist, grip control
    • 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

Abstract

The invention discloses a kind of Sheng Xi robots to approach object pose integrated control method, comprising the following steps: 1) Sheng Xi robot pose kinetic model is established;2) interference observer designs;3) controller design;4) control force/Torque distribution.The present invention devises a kind of interference observer and estimates unmodeled deviation and environmental disturbances by establishing Sheng Xi robot pose kinetic model, and devises object pose Tracking Integrative control method.In addition, the present invention fully considers the appearance rail coupled characteristic of Liao Shengxi robot, and then realize that present Sheng Xi robot makes full use of tether to carry out overall-in-one control schema to its pose target approaches in the process.

Description

A kind of Sheng Xi robot approaches object pose integrated control method
Technical field
The invention belongs to Robot Control Technology research fields, and in particular to a kind of Sheng Xi robot approximate procedure utilizes Tether tracking and controlling method integrated with itself actuator realization pose.
Background technique
Sheng Xi robot is made of operating platform, tether and manipulator, has flexible, safety, the far equal spies of operating distance Point belongs to and compares the service robot with application prospect, can be performed and target approaches are arrested, stablize and pulled etc. with tasks, It can be widely applied to the fields such as space flight and aviation navigation.
It is a series of its premise for implementing tasks that Sheng Xi robot, which approach to target,.In view of aviation, space flight and boat The rope of marine use is the similitude of robot architecture, includes operating platform, tether and manipulator, can establish one and lead to It is described with model.During task, operating platform can by tether can to manipulator apply control force and Control moment.It is to be noted that tether can not only apply control force or control moment under general condition.This is because being Rope tension vector is not always by manipulator's mass center.It is kinetically being presented as pose Dynamics Coupling.To rope system machine When people's posture and position carry out separately designing controller, more general way is to generate position control link tether tension Torque is handled as disturbance torque.Way is simple but does not fully consider its influence, i.e., designed attitude controller energy Attitude disturbance produced by no timely inhibition tether.Whether attitude disturbance caused by tether will lead to position control unstability, these All shortcoming considers, though it is foreseeable that when the convergence rate of attitude controller is slower than the convergence rate of positioner, pose It is easy to happen concussion.Thus design Sheng Xi robot pose integrated controller is necessary.
Summary of the invention
It can be widely applied to Sheng Xi robot the purpose of the present invention is to provide one kind and approach object pose integration control Method processed, it is integrated to making full use of tether to carry out its pose during target approaches that this method may be implemented in Sheng Xi robot Control.
The present invention adopts the following technical scheme that realize:
A kind of Sheng Xi robot approaches object pose integrated control method, comprising the following steps:
1) Sheng Xi robot pose kinetic model is established;
2) interference observer designs;
3) controller design;
4) control force/Torque distribution.
A further improvement of the present invention lies in that the concrete methods of realizing of step 1) is as follows:
The coordinate system of use is defined as follows:To operate gripper body coordinate system, OIXIYIZIFor inertial coordinate System;The absolute pose angle of gripper is expressed as with 321 rotation Eulerian anglesOt1xt1yt1zt1For the tether coordinate system of tether, Inertial coodinate system is around z-axis rotation alpha1Degree is further around y-axis rotation-β1It is overlapped with the coordinate system;
Then, spin matrix of the tether coordinate system to inertial coodinate system are as follows:
Assuming that operating platform quality much larger than operation gripper, is ignored and operates gripper in approximate procedure to the shadow of operating platform It rings, and operating platform itself keeps pose stabilization therefore can be considered particle;
Tether tie point is in the position of operation gripper this system are as follows: dgb=[dx;dy;dz];Operating platform to operation gripper matter The position vector of the heart isFor tether vectorWith tether tie point to operation gripper centroid position vectorThe sum of;That is:Wherein,It is expressed as under tether coordinate system
Operating platform is by tether tensionIt is by itself actuator control forceIt is by perturbed force in environment Gripper mass center is operated by tether tension vectorBy itself actuator control forceIt is by perturbed force in environment
The then partial power equation are as follows:
Wherein Δ gpgFor platform and gripper acceleration of gravity bias term;
Projection under the tether coordinate system of tether are as follows:
FormulaProjection under tether coordinate system are as follows:
ThenProjection under tether coordinate system are as follows:
Wherein:vFcgvT1vΓgvFcpWithvΓpRespectivelyWithUnder tether coordinate system Expression;And:
Attitude dynamics model manipulation gripper angular momentum are as follows:
H=I ω
Derivation is carried out to both sides:
That is:
In formula: I is the inertial tensor for operating gripper;ω is operation gripper angular speed, τcFor control moment, TdFor tether The torque that power generates, τhFor environmental disturbances torque;
Being projected into operation gripper inertial coodinate system can obtain:
Wherein ωbITo operate gripper absolute pose angular speed,To operate gripper absolute pose angular acceleration, CbvTo be Spin matrix of the rope coordinate system to gripper this system;
Formula (1) and formula (2) together constitute rope system Dynamic Models of Robot Manipulators, it will be seen that: due to ωbvAnd τdPresence, make Must restrict be robot system kinetics equation is an appearance rail coupled system;
It enablesThen rope is that robot dynamics' equation arranges as matrix form are as follows:
Wherein, M is Sheng Xi robot inertia matrix;G is related with orbit angular velocity ω, acts on item for terrestrial gravitation;Q is control Force vector processed, wherein l1、α1And β1Corresponding control force is realized by itself thruster of Sheng Xi robot;τ is external interference input Vector;
In view of the presence of environmental disturbances power and torque in the restrict unmodel parts and place that are robot system will Rope system robot dynamics' equation is written as following form:
Wherein, M0, N0And G0It is nominal system parameter, Δ M, Δ N and Δ G are the uncertain parameters of system, and ξ is that rope is machine The state variable of device people, Q are standardization control inputs, and τ is external interference input vector, nominal system parameter and real system ginseng Number has following relationship:
Wherein, M, N and GsBe rope be robot system actual parameter;
Then:
Wherein,It is system unmodel parts;
Assuming thatAnd τ bounded;
System dynamics equation is arranged as following form:
Wherein:
G=M-1
A further improvement of the present invention lies in that the concrete methods of realizing of step 2) is as follows:
Definition rope is that robotic tracking's error is as follows:
E=ξd
Wherein, ξdFor system expectation state;
It is defined as follows auxiliary variable:
Wherein, Λ is positive definite matrix;
Design following observer auxiliary system:
Wherein,K=diag (k1,k2,k3,k4,k5,k6), n=diag (n1,n2,n3,n4,n5,n6), d is Unknown BOUNDED DISTURBANCES, andC=[c1,c2,c3,c4,c5,c6]TFor its upper bound;
And then design following interference observer:
Observer parameter selection is as follows:
Wherein, i=1,2,3,4,5,6.
A further improvement of the present invention lies in that the concrete methods of realizing of step 3) is as follows:
It is as follows using observer result design controller in step 2):
Wherein, Q=[Q1,Q2,Q3,Q4,Q5,Q6]TFor controller output;
Selection of control parameter:
Bounded is exported for guarantee controller, meets following relationship in parameter lambda and ρ selection:
λ+ρ≤χ-C-Fm
Wherein χ is the actuator ability upper bound, FmFor the upper bound F and satisfaction | F |≤Fm
A further improvement of the present invention lies in that the concrete methods of realizing of step 4) is as follows:
Control force part:
Work as Q1When≤0;
Tether tension is T1=-mgQ1
It operates the actuators such as gripper thruster and thrust is provided are as follows: Fgc=Abv[0,mgQ2,mgQ3]T
Wherein, mgFor the quality of gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system;
Work as Q1When > 0;
Tether tension is T1=0;
The actuators such as robot manipulation's gripper thruster provide thrust are as follows: Fgc=Abv[mgQ1,mgQ2,mgQ3]T
Wherein, mgFor the quality for operating gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system;
Control moment part:
The actuator for operating gripper provides control moment are as follows:
τgc=[Q4,Q5,Q6]T
The present invention has following beneficial technical effect:
The present invention by establishing Sheng Xi robot pose kinetic model, devise a kind of interference observer to it is unmodeled partially Difference and environmental disturbances are estimated, and devise object pose Tracking Integrative control method.In addition, the present invention fully considers The appearance rail coupled characteristic of Liao Shengxi robot, and then realize that present Sheng Xi robot makes full use of tether to target approaches in the process Overall-in-one control schema is carried out to its pose.
Detailed description of the invention
Fig. 1 is that Sheng Xi robot of the present invention approaches object delineation.
In figure: 1- operating platform;2- tether;3- operates gripper;4- target.
Fig. 2 is control block diagram of the present invention.
Specific embodiment
The invention will be described in further detail with reference to the accompanying drawing:
Referring to Fig. 1 and Fig. 2, Fig. 1 is that Sheng Xi robot of the present invention approaches object delineation, wherein 1 is operating platform, and 2 are Tether, 3 be operation gripper, and 4 be target, and a kind of Sheng Xi robot provided by the invention approaches object pose overall-in-one control schema side Method, comprising the following steps:
1. Sheng Xi robot appearance rail Integrated Model is established:
The coordinate system of use is defined as follows:To operate gripper body coordinate system, OIXIYIZIFor inertial coordinate System;The absolute pose angle of gripper is expressed as with 321 rotation Eulerian anglesOt1xt1yt1zt1For the tether coordinate system of tether, Tether is reduced to one section of massless in the present invention, and inertial coodinate system is around z-axis rotation alpha1Degree is further around y-axis rotation-β1With the coordinate system It is overlapped.
Spin matrix of the tether coordinate system to inertial coodinate system are as follows:
Assuming that operating platform quality much larger than operation gripper, is ignored and operates gripper in approximate procedure to the shadow of operating platform It rings, and operating platform itself keeps pose stabilization therefore can be considered particle.
The position of tether tie point operation gripper this system are as follows: dgb=[dx,dy,dz]T.Operating platform to operation gripper matter The position vector of the heart are as follows:For tether vectorWith tether tie point to operation gripper centroid position vectorThe sum of.That is:Wherein,L is expressed as under tether coordinate system1=[l1,0,0]T
Operating platform is by tether tensionIt is by itself actuator control force It is by perturbed force in environmentGripper mass center is operated by tether tension vectorBy itself actuator control forceIt is by perturbed force in environment
The then partial power equation are as follows:
Wherein, Δ gpgFor platform and gripper acceleration of gravity bias term.
Projection under the tether coordinate system of tether are as follows:
Projection under tether coordinate system are as follows:
ThenProjection under tether coordinate system are as follows:
Wherein:vFcgvT1vΓgvFcpWithvΓpRespectivelyWithUnder tether coordinate system Expression.And:
Attitude dynamics model manipulation gripper angular momentum are as follows:
H=I ω
Derivation is carried out to both sides:
That is:
In formula: I is the inertial tensor for operating gripper;ω is operation gripper angular speed, τcFor control moment, TdFor tether The torque that power generates, τhFor environmental disturbances torque.
Being projected into operation gripper inertial coodinate system can obtain:
Wherein, ωbITo operate gripper absolute pose angular speed,To operate gripper absolute pose angular acceleration, CbvFor Spin matrix of the tether coordinate system to gripper this system.
Formula (1) and formula (2) together constitute rope system Dynamic Models of Robot Manipulators, it will thus be seen that due to ωbvAnd τdDeposit So that it is an appearance rail coupled system that rope, which is robot system kinetics equation,.
It enablesThen rope is that robot dynamics' equation arranges as matrix form are as follows:
Wherein, M is Sheng Xi robot inertia matrix;G is related with orbit angular velocity ω, acts on item for terrestrial gravitation;Q is control Force vector processed, wherein l1、α1And β1Corresponding control force is realized by itself thruster of Sheng Xi robot;τ is external interference input Vector.
In view of the presence of environmental disturbances power and torque in the restrict unmodel parts and place that are robot system can By will restrict be robot dynamics' equation be written as it is following in the form of:
Wherein, M0, N0And G0It is nominal system parameter, Δ M, Δ N and Δ G are the uncertain parameters of system, and ξ is that rope is machine The state variable of device people, Q are standardization control inputs, and τ is external interference input vector, nominal system parameter and real system ginseng Number has following relationship:
Wherein, M, N and GsBe rope be robot system actual parameter.
Then:
Wherein,It is system unmodel parts.
Assuming thatAnd τ bounded.
System dynamics equation is arranged as following form:
Wherein:
G=M-1
2. Design of Observer
Definition rope is that robotic tracking's error is as follows:
E=ξd
Wherein, ξdFor system expectation state.
It is defined as follows auxiliary variable:
Wherein, Λ is positive definite matrix.
Design following observer auxiliary system:
Wherein,K=diag (k1,k2,k3,k4,k5,k6), n=diag (n1,n2,n3,n4,n5,n6), d is Unknown BOUNDED DISTURBANCES, andC=[c1,c2,c3,c4,c5,c6]TFor its upper bound.
And then design following interference observer:
Observer parameter selection is as follows:
Wherein, i=1,2,3,4,5,6.
3. controller design
It is as follows using observer result design controller in back:
Wherein, Q=[Q1,Q2,Q3,Q4,Q5,Q6]TFor controller output, it should be pointed out that by reasonably selecting parameter lambda And ρ, controller output may be implemented to meet rope to be robotic actuator physical constraint condition.
Selection of control parameter:
Bounded is exported for guarantee controller, following relationship should be met in parameter lambda and ρ selection:
λ+ρ≤χ-C-Fm
Wherein, χ is the actuator ability upper bound, FmFor the upper bound F and satisfaction | F |≤Fm
4. control force/Torque distribution
Since Sheng Xi robot is using tether tension and itself thrust etc. as driving force, thus need to consider by control force point Dispensing tether and thruster etc..Using following scheme as control force allocation plan:
Control force part:
Work as Q1When≤0;
Tether tension is T1=-mgQ1
It operates the actuators such as gripper thruster and thrust is provided are as follows: Fgc=Abv[0,mgQ2,mgQ3]T
Wherein, mgFor the quality of gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system.
Work as Q1When > 0;
Tether tension is T1=0;
The actuators such as robot manipulation's gripper thruster provide thrust are as follows: Fgc=Abv[mgQ1,mgQ2,mgQ3]T
Wherein, mgFor the quality for operating gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system.
Control moment part:
The actuator for operating gripper provides control moment are as follows:
τgc=[Q4,Q5,Q6]T

Claims (5)

1. a kind of Sheng Xi robot approaches object pose integrated control method, which comprises the following steps:
1) Sheng Xi robot pose kinetic model is established;
2) interference observer designs;
3) controller design;
4) control force/Torque distribution.
2. a kind of Sheng Xi robot according to claim 1 approaches object pose integrated control method, which is characterized in that The concrete methods of realizing of step 1) is as follows:
The coordinate system of use is defined as follows:To operate gripper body coordinate system, OIXIYIZIFor inertial coodinate system;Gripper Absolute pose angle with 321 rotation Eulerian angles be expressed asOt1xt1yt1zt1For the tether coordinate system of tether, inertia is sat Mark system is around z-axis rotation alpha1Degree is further around y-axis rotation-β1It is overlapped with the coordinate system;
Then, spin matrix of the tether coordinate system to inertial coodinate system are as follows:
Assuming that operating platform quality, which much larger than operation gripper, is ignored, operates influence of the gripper to operating platform in approximate procedure, and Operating platform itself keeps pose stabilization therefore can be considered particle;
Tether tie point is in the position of operation gripper this system are as follows: dgb=[dx;dy;dz];Operating platform is to operation gripper mass center Position vector are as follows:For tether vectorWith tether tie point to operation gripper centroid position vectorThe sum of;That is:Wherein,It is expressed as under tether coordinate system
Operating platform is by tether tensionIt is by itself actuator control forceIt is by perturbed force in environmentOperation Gripper mass center is by tether tension vectorBy itself actuator control forceIt is by perturbed force in environment
The then partial power equation are as follows:
Wherein Δ gpgFor platform and gripper acceleration of gravity bias term;
Projection under the tether coordinate system of tether are as follows:
FormulaProjection under tether coordinate system are as follows:
ThenProjection under tether coordinate system are as follows:
Wherein:vFcgvT1vΓgvFcpWithvΓpRespectivelyWithTable under tether coordinate system Show;And:
Attitude dynamics model manipulation gripper angular momentum are as follows:
H=I ω
Derivation is carried out to both sides:
That is:
In formula: I is the inertial tensor for operating gripper;ω is operation gripper angular speed, τcFor control moment, TdFor the production of tether tension Raw torque, τhFor environmental disturbances torque;
Being projected into operation gripper inertial coodinate system can obtain:
Wherein ωbITo operate gripper absolute pose angular speed,To operate gripper absolute pose angular acceleration, CbvFor tether seat Mark system arrives the spin matrix of gripper this system;
Formula (1) and formula (2) together constitute rope system Dynamic Models of Robot Manipulators, it will be seen that: due to ωbvAnd τdPresence so that rope It is robot system kinetics equation is an appearance rail coupled system;
It enablesThen rope is that robot dynamics' equation arranges as matrix form are as follows:
Wherein, M is Sheng Xi robot inertia matrix;G is related with orbit angular velocity ω, acts on item for terrestrial gravitation;Q is control force Vector, wherein l1、α1And β1Corresponding control force is realized by itself thruster of Sheng Xi robot;τ be external interference input to Amount;
In view of rope is by the presence of environmental disturbances power and torque in the restrict unmodel parts and place that are robot system Robot dynamics' equation is written as following form:
Wherein, M0, N0And G0It is nominal system parameter, Δ M, Δ N and Δ G are the uncertain parameters of system, and ξ is Sheng Xi robot State variable, Q be standardization control input, τ be external interference input vector, nominal system parameter and real system parameter have Following relationship:
Wherein, M, N and GsBe rope be robot system actual parameter;
Then:
Wherein,It is system unmodel parts;
Assuming thatAnd τ bounded;
System dynamics equation is arranged as following form:
Wherein:
G=M-1
3. a kind of Sheng Xi robot according to claim 2 approaches object pose integrated control method, which is characterized in that The concrete methods of realizing of step 2) is as follows:
Definition rope is that robotic tracking's error is as follows:
E=ξd
Wherein, ξdFor system expectation state;
It is defined as follows auxiliary variable:
Wherein, Λ is positive definite matrix;
Design following observer auxiliary system:
Wherein,K=diag (k1,k2,k3,k4,k5,k6), n=diag (n1,n2,n3,n4,n5,n6), d is unknown BOUNDED DISTURBANCES, andC=[c1,c2,c3,c4,c5,c6]TFor its upper bound;
And then design following interference observer:
Observer parameter selection is as follows:
Wherein, i=1,2,3,4,5,6.
4. a kind of Sheng Xi robot according to claim 3 approaches object pose integrated control method, which is characterized in that The concrete methods of realizing of step 3) is as follows:
It is as follows using observer result design controller in step 2):
Wherein, Q=[Q1,Q2,Q3,Q4,Q5,Q6]TFor controller output;
Selection of control parameter:
Bounded is exported for guarantee controller, meets following relationship in parameter lambda and ρ selection:
λ+ρ≤χ-C-Fm
Wherein χ is the actuator ability upper bound, FmFor the upper bound F and satisfaction | F |≤Fm
5. a kind of Sheng Xi robot according to claim 4 approaches object pose integrated control method, which is characterized in that The concrete methods of realizing of step 4) is as follows:
Control force part:
Work as Q1When≤0;
Tether tension is T1=-mgQ1
It operates the actuators such as gripper thruster and thrust is provided are as follows: Fgc=Abv[0,mgQ2,mgQ3]T
Wherein, mgFor the quality of gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system;
Work as Q1When > 0;
Tether tension is T1=0;
The actuators such as robot manipulation's gripper thruster provide thrust are as follows: Fgc=Abv[mgQ1,mgQ2,mgQ3]T
Wherein, mgFor the quality for operating gripper, AbvFor tether coordinate system to the spin matrix of operation gripper this system;
Control moment part:
The actuator for operating gripper provides control moment are as follows:
τgc=[Q4,Q5,Q6]T
CN201811051832.0A 2018-09-10 2018-09-10 Rope-tied robot approaching target pose integrated control method Active CN109240343B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811051832.0A CN109240343B (en) 2018-09-10 2018-09-10 Rope-tied robot approaching target pose integrated control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811051832.0A CN109240343B (en) 2018-09-10 2018-09-10 Rope-tied robot approaching target pose integrated control method

Publications (2)

Publication Number Publication Date
CN109240343A true CN109240343A (en) 2019-01-18
CN109240343B CN109240343B (en) 2021-11-16

Family

ID=65067438

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811051832.0A Active CN109240343B (en) 2018-09-10 2018-09-10 Rope-tied robot approaching target pose integrated control method

Country Status (1)

Country Link
CN (1) CN109240343B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110640789A (en) * 2019-09-23 2020-01-03 浙江工业大学 Robot pose recursive estimation method based on bounded optimization
CN112180944A (en) * 2020-10-22 2021-01-05 南京航空航天大学 Rope-tied wheel type mobile robot motion control system and method
CN113624400A (en) * 2021-08-20 2021-11-09 哈尔滨工业大学 Method for measuring mass center of object in large-space rope drive assembly process
CN113800007A (en) * 2021-08-29 2021-12-17 西北工业大学 Rapid directional deployment method of space tether system under condition of unknown partial state
CN114237054A (en) * 2021-12-18 2022-03-25 福州大学 6D interaction control method of aerial robot

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103064420A (en) * 2012-12-14 2013-04-24 西北工业大学 Approaching posture coordination control method of space tether robot with movable tether point
CN103955225A (en) * 2014-04-28 2014-07-30 西北工业大学 Fuel optimal pose coordination method suitable for space tether robot in target approaching process
CN105912005A (en) * 2016-05-16 2016-08-31 西北工业大学 Space non-cooperative target attitude joint takeover control method utilizing tether thruster
CN106502260A (en) * 2016-12-01 2017-03-15 西北工业大学 Robot of space rope system arrests the attitude adapter control method after flexibility target satellite

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103064420A (en) * 2012-12-14 2013-04-24 西北工业大学 Approaching posture coordination control method of space tether robot with movable tether point
CN103955225A (en) * 2014-04-28 2014-07-30 西北工业大学 Fuel optimal pose coordination method suitable for space tether robot in target approaching process
CN105912005A (en) * 2016-05-16 2016-08-31 西北工业大学 Space non-cooperative target attitude joint takeover control method utilizing tether thruster
CN106502260A (en) * 2016-12-01 2017-03-15 西北工业大学 Robot of space rope system arrests the attitude adapter control method after flexibility target satellite

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
YONGXIN HU ET AL.: "Approaching control for tethered space robot based on disturbance observer using super twisting law", 《ADVANCES IN SPACE RESEARCH》 *
王东科 等: "空间绳系机器人目标逼近姿态协调控制", 《宇航学报》 *
胡仄虹 等: "空间绳系机器人逼近过程的位姿一体化控制", 《航空学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110640789A (en) * 2019-09-23 2020-01-03 浙江工业大学 Robot pose recursive estimation method based on bounded optimization
CN112180944A (en) * 2020-10-22 2021-01-05 南京航空航天大学 Rope-tied wheel type mobile robot motion control system and method
CN112180944B (en) * 2020-10-22 2022-02-15 南京航空航天大学 Rope-tied wheel type mobile robot motion control system and method
CN113624400A (en) * 2021-08-20 2021-11-09 哈尔滨工业大学 Method for measuring mass center of object in large-space rope drive assembly process
CN113624400B (en) * 2021-08-20 2022-07-05 哈尔滨工业大学 Method for measuring mass center of object in large-space rope drive assembly process
CN113800007A (en) * 2021-08-29 2021-12-17 西北工业大学 Rapid directional deployment method of space tether system under condition of unknown partial state
CN113800007B (en) * 2021-08-29 2022-07-26 西北工业大学 Rapid directional deployment method for space tether system under condition of unknown partial state
CN114237054A (en) * 2021-12-18 2022-03-25 福州大学 6D interaction control method of aerial robot

Also Published As

Publication number Publication date
CN109240343B (en) 2021-11-16

Similar Documents

Publication Publication Date Title
CN109240343A (en) A kind of Sheng Xi robot approaches object pose integrated control method
He et al. Neural-learning-based control for a constrained robotic manipulator with flexible joints
Ryll et al. 6D physical interaction with a fully actuated aerial robot
CN106695797B (en) Shared control method and system based on tow-armed robot cooperating
Gabrich et al. A flying gripper based on cuboid modular robots
Sun et al. A novel kinematic coupling-based trajectory planning method for overhead cranes
Xu et al. Singularity-free trajectory planning of free-floating multiarm space robots for keeping the base inertially stabilized
Xu et al. The coordinated motion planning of a dual-arm space robot for target capturing
Meng et al. Vibration suppression control of free-floating space robots with flexible appendages for autonomous target capturing
Lai et al. Position-posture control of a planar four-link underactuated manipulator based on genetic algorithm
CN104842355B (en) The MIXED INTEGER forecast Control Algorithm of the lower redundant space robot of avoidance constraint
Polverini et al. Sensorless and constraint based peg-in-hole task execution with a dual-arm robot
Bonna et al. Trajectory tracking control of a quadrotor using feedback linearization
CN109597426A (en) Based on L1The four-rotor helicopter Trajectory Tracking Control method of self adaptive control
Jamisola et al. Task-space modular dynamics for dual-arms expressed through a relative jacobian
Yilmaz et al. Nonlinear adaptive control of an aerial manipulation system
Chaikalis et al. Adaptive control approaches for an unmanned aerial manipulation system
Shi et al. A robust attitude controller for a spacecraft equipped with a robotic manipulator
Xu et al. Target berthing and base reorientation of free-floating space robotic system after capturing
Wang et al. On the recursive adaptive control for free-floating space manipulators
CN106855690B (en) Self-adaptive control method for recovering target after space tethered robot short-distance capture
Guo et al. Task space control of free-floating space robots using constrained adaptive RBF-NTSM
CN107678442A (en) A kind of four rotors based under dual model it is autonomous ship control method
Sæbϕ et al. Robust task-priority impedance control for vehicle-manipulator systems
Ding et al. Energy-efficient adaptive robust control of vector thrust UAVs with unknown inertia parameters

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
GR01 Patent grant
GR01 Patent grant