CN111625012A - Distributed cooperative operation method for multi-space robot - Google Patents
Distributed cooperative operation method for multi-space robot Download PDFInfo
- Publication number
- CN111625012A CN111625012A CN202010515768.8A CN202010515768A CN111625012A CN 111625012 A CN111625012 A CN 111625012A CN 202010515768 A CN202010515768 A CN 202010515768A CN 111625012 A CN111625012 A CN 111625012A
- Authority
- CN
- China
- Prior art keywords
- robot
- robots
- interface
- detection information
- control
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004364 calculation method Methods 0.000 claims abstract description 11
- 230000003993 interaction Effects 0.000 claims abstract description 11
- 238000001514 detection method Methods 0.000 claims description 36
- 239000011159 matrix material Substances 0.000 claims description 12
- 239000003380 propellant Substances 0.000 claims description 10
- 239000000446 fuel Substances 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 101500024558 Homo sapiens Pancreatic icosapeptide Proteins 0.000 claims 1
- 238000011161 development Methods 0.000 description 3
- 229920006395 saturated elastomer Polymers 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000002828 fuel tank Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
- G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
- G05D1/0816—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability
- G05D1/0833—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability using limited authority control
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
Description
技术领域technical field
本发明属于航天器控制领域,涉及一种多空间机器人分布式协同操作方法,具体涉及多个空间机器人通过分布式计算,实现组合体的稳定控制方法。The invention belongs to the field of spacecraft control, and relates to a distributed cooperative operation method of multi-space robots, in particular to a method for realizing stable control of a combination of multiple space robots through distributed computing.
背景技术Background technique
随着航天技术的发展,航天器在通信、导航定位和对地观测等方面发挥的越来越重要的作用。航天器在轨失效所造成的直接和间接损失十分巨大,发展在轨服务技术是世界各航天大国重点发展方向。为此,不同的研究者研制了基于空间机械臂的空间机器人、基于系绳的空间绳系机器人、基于细胞化理念的空间细胞机器人、基于绳网的空间飞网机器人等多种类型的空间机器人。对于大型失效航天器,其质量高达数吨,多个小型空间机器人与失效航天器进行对接后,需要进行信息交互和协同,对失效航天器实施接管控制,实现整个组合系统的稳定控制。不同于单机器人系统,这一系统的结构为分布式的,因此需要设计适合其系统结构的分布式协同控制方案。With the development of aerospace technology, spacecraft play an increasingly important role in communication, navigation and positioning, and earth observation. The direct and indirect losses caused by the failure of spacecraft on-orbit are huge. The development of on-orbit service technology is the key development direction of the world's aerospace powers. To this end, different researchers have developed various types of space robots, such as space robots based on space manipulators, space tethered robots based on tethers, space cell robots based on cellular concepts, and space flying net robots based on rope nets. . For a large failed spacecraft, its mass is as high as several tons. After multiple small space robots are docked with the failed spacecraft, information interaction and coordination are required to implement takeover control of the failed spacecraft to achieve stable control of the entire combined system. Different from the single robot system, the structure of this system is distributed, so it is necessary to design a distributed cooperative control scheme suitable for its system structure.
为了解决多个空间机器人对组合系统的协同控制,本发明给出了一种分布式协同控制方法,利用机器人之间的信息交互,实现对组合系统的稳定控制。该方法适用于机器人之间不同的网络状连接拓扑,避免了中心节点的需求,可以灵活增加或减少系统中的机器人数量及其连接构型。In order to solve the collaborative control of the combined system by multiple space robots, the invention provides a distributed collaborative control method, which utilizes the information interaction between the robots to realize the stable control of the combined system. This method is suitable for different network-like connection topologies between robots, avoids the need for a central node, and can flexibly increase or decrease the number of robots and their connection configurations in the system.
发明内容SUMMARY OF THE INVENTION
要解决的技术问题technical problem to be solved
为了避免现有技术的不足之处,本发明提出一种多空间机器人分布式协同操作方法,实现多个机器人之间的分布式协同控制,即利用多个具备控制能力的机器人对组合系统实现稳定控制。In order to avoid the deficiencies of the prior art, the present invention proposes a distributed collaborative operation method for multi-space robots, which realizes distributed collaborative control among multiple robots, that is, utilizes multiple robots with control capability to stabilize the combined system. control.
技术方案Technical solutions
一种多空间机器人分布式协同操作方法,其特征在于:系统中有N个机器人,每个机器人均有唯一身份标识ID,所有机器人的ID的集合为X,定义ID=0为非法标识;设身份标识为IDi的机器人为机器人i;机器人i记录系统中所有与之相连的机器人的ID列表,记为其中各元素分别表示机器人i的接口1至接口ni相连的机器人的ID值,起始值为0;操作步骤如下:A multi-space robot distributed collaborative operation method, characterized in that: there are N robots in the system, each robot has a unique identification ID, the set of IDs of all robots is X, and ID=0 is defined as an illegal identification; The robot whose identity is ID i is robot i; robot i records the ID list of all connected robots in the system, denoted as Each element represents the ID value of the robot connected to the interface 1 of the robot i to the interface n i , and the initial value is 0; the operation steps are as follows:
步骤1、连接拓扑探测和更新:每个机器人j∈X均每隔T秒进行连接拓扑探测和更新,其中T≥DΔt,D为多机器人链接拓扑无向图的直径,由机器人网络拓扑决定;Δt为机器人之间信息交互时间间隔,每个机器人主动发送连接探测信息或回复相邻机器人的连接探测信息;Step 1. Connection topology detection and update: each robot j∈X performs connection topology detection and update every T seconds, where T≥DΔt, D is the diameter of the multi-robot link topology undirected graph, which is determined by the robot network topology; Δt is the information interaction time interval between robots, each robot actively sends connection detection information or responds to the connection detection information of adjacent robots;
机器人j主动发送连接探测信息的流程:The process of robot j actively sending connection detection information:
机器人j采用网络通信领域通识方,法通过自身的所有数据接口发送连接请求,所传输的信息包含本机器人的标识IDj;若机器人j的接口p,1≤p≤nj接收到相邻机器人的回复的连接探测信息,读取到其中包含的与接口p相连的机器人的标识为IDk,则令ljp=IDk;若接口p未接收到回复,则意味着接口p未连接机器人或连接机器人失效,则令ljp=0;Robot j adopts the general knowledge method in the field of network communication, and the method sends connection requests through all data interfaces of itself, and the transmitted information includes the identification ID j of this robot; if the interface p of robot j , 1≤p≤nj receives adjacent In the connection detection information of the robot's reply, the identifier of the robot connected to the interface p is read as ID k , then l jp =ID k ; if the interface p does not receive a reply, it means that the interface p is not connected to the robot Or the connection robot fails, then let l jp = 0;
回复相邻机器人的连接探测信息的流程:The process of replying to the connection detection information of adjacent robots:
机器人j的接口r接收到相邻机器人的连接探测信息,读取到其中包含的与接口r相连的机器人的标识为IDk,令Ljr=IDk,并通过接口r回复自身的连接探测信息;机器人j的接口r接收到相邻机器人的连接探测信息,读取到其中包含的与接口r相连的机器人的标识为IDk,令Ljr=IDk,并通过接口r回复自身的连接探测信息;The interface r of the robot j receives the connection detection information of the adjacent robot, reads the ID k of the robot connected to the interface r contained therein, and sets L jr =ID k , and returns its own connection detection information through the interface r ; The interface r of robot j receives the connection detection information of the adjacent robot, reads the identification of the robot connected to the interface r contained in it as ID k , makes L jr =ID k , and returns its own connection detection through the interface r information;
本步骤持续定时循环执行;This step is continuously executed in a timed cycle;
步骤2、控制参数初始化:Step 2. Initialize control parameters:
所有机器人中接收地面遥控指令的机器人的集合为Ccom,集合大小为Ncom1≤Ncom≤N;The set of all robots that receive ground remote control commands is C com , and the set size is N com 1≤N com ≤N;
所有机器人IDl∈Ccom接收到地面测控站发送的期望姿态σd,记录接收时间Tl;All robot IDs l ∈ C com receive the desired attitude σ d sent by the ground measurement and control station, and record the receiving time T l ;
机器人l根据自身信息连接列表Ll,将σd和Tl发送给Ll中的所有相邻机器人m,机器人m接收到σd和Tl后,比较Tl和Tm;Robot l connects the list L l according to its own information, and sends σ d and T l to all neighboring robots m in L l . After robot m receives σ d and T l , it compares T l and T m ;
若Tl>Tm,则更新自身记录的σd,令Tm=Tl,并将σd和更新时间Tm向除机器人l外的所有相邻机器人进一步转发;否则忽略;If T l > T m , update the σ d recorded by itself, let T m =T l , and forward the σ d and the update time T m to all neighboring robots except robot l; otherwise ignore;
步骤3、计算所有机器人的控制力矩:Step 3. Calculate the control torque of all robots:
机器人IDξ∈X利用传感器测得用修正罗德里格斯参数表示的航天器姿态σξ∈R3、角速度ωξ∈R3和角加速度 Robot ID ξ ∈ X uses sensors to measure spacecraft attitude σ ξ ∈ R 3 , angular velocity ω ξ ∈ R 3 and angular acceleration expressed by modified Rodrigues parameters
每个机器人控制参数为三组:There are three groups of control parameters for each robot:
包括参数参数Dξ=diag(δξ1,δξ2,δξ3)、Kξ=diag(κξ1,κξ2,κξ3),其中δξ1,δξ2,δξ3≥0,κξ1,κξ2,κξ3>0,所有机器人的控制参数初始值均设定为一致,并在步骤5进行更新;根据控制参数Jξ、Dξ、Kξ和期望姿态σd计算机器人ξ的控制力矩τξ,计算方式如下:include parameters Parameters D ξ =diag(δ ξ1 ,δ ξ2 ,δ ξ3 ), K ξ =diag(κ ξ1 ,κ ξ2 ,κ ξ3 ), where δ ξ1 , δ ξ2 , δ ξ3 ≥0, κ ξ1 , κ ξ2 , κ ξ3 > 0, the initial values of all robots’ control parameters are set to be the same, and are updated in step 5; according to the control parameters J ξ , D ξ , K ξ and the desired attitude σ d to calculate the control torque τ ξ of the robot ξ, the calculation method is as follows:
其中:σe为修正罗德里斯参数表示下的姿态误差;Among them: σ e is the attitude error under the modified Rodris parameter;
步骤4、参数比例因子计算:Step 4. Parameter scale factor calculation:
每个机器人根据自身剩余能量计算自身的参数比例因子,对于机器人IDζ∈X,参数比例因子Wζ=[Wζ1 Wζ2 Wζ3],其中各元素取值范围为[0 1],计算方式如下:Each robot calculates its own parameter scale factor according to its own residual energy. For robot ID ζ ∈X, the parameter scale factor W ζ = [W ζ1 W ζ2 W ζ3 ], where the value range of each element is [0 1], the calculation method as follows:
情况1:若机器人ζ执行器为推力器,其剩余推进剂计算为:Case 1: If the robot ζ actuator is a thruster, its remaining propellant is calculated as:
其中:A为常数,取值范围为3~100;B为常数,取值范围为1~10;eζ为机器人剩余推进剂质量,efull为机器人燃料储箱的总量;Among them: A is a constant, the value range is 3~100; B is a constant, the value range is 1~10; e ζ is the remaining propellant mass of the robot, and e full is the total amount of the robot fuel storage tank;
情况2:若机器人ζ执行器为三个正交安装的反作用飞轮,其剩余能量计算为:Case 2: If the robot ζ actuator is three orthogonally mounted reaction flywheels, its residual energy is calculated as:
其中:rζ1、rζ2、rζ3分别为机器人ζ三个反作用飞轮的旋转速度;rfull为飞轮饱和转速;αζ1,αζ2,αζ3分别利用如下式计算:Among them: r ζ1 , r ζ2 , r ζ3 are the rotational speeds of the three reaction flywheels of the robot ζ, respectively; r full is the saturated rotational speed of the flywheel; α ζ1 , α ζ2 , α ζ3 are calculated using the following formulas respectively:
其中:Tζ为机器人ζ飞轮配置矩阵,表示飞轮旋转轴坐标系与惯性坐标系的旋转矩阵;in: T ζ is the robot ζ flywheel configuration matrix, representing the rotation matrix of the flywheel rotation axis coordinate system and the inertial coordinate system;
步骤5、控制参数更新:Step 5. Control parameter update:
所有机器人定时与相邻机器人进行控制参数和参数比例因子的更新,对于机器人 All robots regularly update control parameters and parameter scaling factors with neighboring robots. For robots
情况1:机器人主动发送信息的具体方式如下:Case 1: Robot The specific ways of actively sending information are as follows:
机器人按照记录的相邻机器人ID,依次与其相连的机器人进行数据交换:robot according to The recorded IDs of adjacent robots, in turn, exchange data with the robots connected to them:
步骤(1):另q=1;Step (1): another q=1;
步骤(2):判断的值,若则跳至步骤(3);若假设表示机器人的接口q和机器人π相连,机器人将 发送给机器人π,机器人π回复自身的Wπ,δπ1,δπ2,δπ3,κπ1,κπ2,κπ3数据;完成信息交互后机器人和机器人π分别按照下式更新自身的参数比例因子和控制参数Step (2): Judgment value, if Then skip to step (3); if Assumption Represents a robot The interface q is connected to the robot π, the robot Will Send to robot π, robot π replies with its own W π , δ π1 ,δ π2 ,δ π3 ,κ π1 ,κ π2 ,κ π3 data; after completing the information interaction, the robot and robot π to update their own parameter scale factors and control parameters according to the following formulas respectively
步骤(3):q=q+1,若则返回步骤3,否则进行步骤(2);Step (3): q=q+1, if Then return to step 3, otherwise go to step (2);
情况2:机器人接收到相邻机器人的信息,处理方式和步骤(2)中的机器人π的处理步骤一致;Case 2: Robot After receiving the information of the adjacent robot, the processing method is consistent with the processing steps of the robot π in step (2);
本步骤执行完毕后返回步骤3。Return to step 3 after this step is completed.
所述步骤4中的情况1:若机器人ζ执行器为推力器,其剩余推进剂计算为:其中:B为常数,取值范围为1~10;eζ为机器人剩余推进剂质量,efull为机器人燃料储箱的总量。Case 1 in Step 4: If the robot ζ actuator is a thruster, the remaining propellant is calculated as: Among them: B is a constant, the value range is 1~10; e ζ is the remaining mass of the propellant of the robot, and e full is the total amount of the robot's fuel storage tank.
所述步骤4中的情况2:若机器人ζ执行器为三个正交安装的反作用飞轮,其剩余能量计算为:Case 2 in Step 4: If the robot ζ actuator is three orthogonally installed reaction flywheels, its residual energy is calculated as:
其中:rζ1、rζ2、rζ3分别为机器人ζ三个反作用飞轮的旋转速度;rfull为飞轮饱和转速;αζ1,αζ2,αζ3分别利用如下式计算:其中:Tζ为机器人ζ飞轮配置矩阵,表示飞轮旋转轴坐标系与惯性坐标系的旋转矩阵。Among them: r ζ1 , r ζ2 , r ζ3 are the rotational speeds of the three reaction flywheels of the robot ζ, respectively; r full is the saturated rotational speed of the flywheel; α ζ1 , α ζ2 , α ζ3 are calculated using the following formulas respectively: in: T ζ is the configuration matrix of the robot ζ flywheel, which represents the rotation matrix of the flywheel rotation axis coordinate system and the inertial coordinate system.
有益效果beneficial effect
本发明提出的一种多空间机器人分布式协同操作方法,利用机器人之间的信息交互,实现对组合系统的稳定控制。该方法适用于机器人之间不同的网络状连接拓扑,避免了中心节点的需求,可以灵活增加或减少系统中的机器人数量及其连接构型。与常规航天器控制方法相比,在以下方面存在优势:1)本方法为分布式算法,机器人单元控制力矩计算、控制参数协调和更新均无需中心单元,提高了系统的灵活性和鲁棒性;2)本方法适用于网络拓扑结构和总线拓扑等多种连接拓扑,实用性广;3)本方法适用于异构机器人之间的分布式协同控制,可适用于推力器机器人和反作用飞轮机器人。The distributed cooperative operation method of multi-space robots proposed by the invention utilizes the information interaction between robots to realize stable control of the combined system. This method is suitable for different network-like connection topologies between robots, avoids the need for a central node, and can flexibly increase or decrease the number of robots and their connection configurations in the system. Compared with the conventional spacecraft control method, it has advantages in the following aspects: 1) This method is a distributed algorithm, and the robot unit control torque calculation, control parameter coordination and update do not require a central unit, which improves the flexibility and robustness of the system 2) This method is suitable for various connection topologies such as network topology and bus topology, and has wide practicability; 3) This method is suitable for distributed collaborative control between heterogeneous robots, and can be applied to thruster robots and reaction flywheel robots .
附图说明Description of drawings
图1:拓扑探测和更新数据连接关系Figure 1: Topology Probing and Updating Data Connection Relationships
图2:控制参数初始化数据连接关系Figure 2: Control parameter initialization data connection relationship
图3:机器人信息交互和参数更新Figure 3: Robot information interaction and parameter update
具体实施方式Detailed ways
现结合实施例、附图对本发明作进一步描述:The present invention will now be further described in conjunction with the embodiments and accompanying drawings:
假设系统中有N个机器人,每个机器人均有唯一身份标识ID,所有机器人的ID的集合为X,定义ID=0为非法标识;设身份标识为IDi的机器人为机器人i,最多有ni个接口,ni≥1,具体数量由机器人结构设计决定。机器人i记录系统中所有与之相连的机器人的ID列表,记为其中各元素分别表示机器人i的接口1至接口ni相连的机器人的ID值,起始值为0。Suppose there are N robots in the system, each robot has a unique ID, the set of IDs of all robots is X, and ID=0 is defined as an illegal ID; let the robot with ID i be robot i, and there are at most n i interfaces, n i ≥ 1, the specific number is determined by the robot structure design. Robot i records the ID list of all connected robots in the system, denoted as Each element respectively represents the ID value of the robot connected to the interface 1 of the robot i to the interface n i , and the initial value is 0.
为实现上述目的,本发明所采用的技术方案包括以下步骤:To achieve the above object, the technical solution adopted in the present invention comprises the following steps:
步骤一:连接拓扑探测和更新Step 1: Connect topology detection and update
本步骤的目的是通过对相邻机器人的探测与相邻机器人建立连接,定时更新连接关系。本步骤持续定时循环执行。The purpose of this step is to establish a connection with the adjacent robot by detecting the adjacent robot, and update the connection relationship regularly. This step is continuously executed in a timed loop.
每个机器人j∈X均每隔T秒进行连接拓扑探测和更新,其中T≥DΔt,D为多机器人链接拓扑无向图的直径,由机器人网络拓扑决定;Δt为机器人之间信息交互时间间隔,每个机器人均需要主动发送连接探测信息或回复相邻机器人的连接探测信息。Each robot j∈X performs connection topology detection and update every T seconds, where T≥DΔt, D is the diameter of the multi-robot link topology undirected graph, which is determined by the robot network topology; Δt is the information interaction time interval between robots , each robot needs to actively send connection detection information or reply to the connection detection information of adjacent robots.
其中,机器人j主动发送连接探测信息的流程为(1),回复相邻机器人的连接探测信息的流程为(2):Among them, the process of robot j actively sending connection detection information is (1), and the process of replying to the connection detection information of adjacent robots is (2):
(1)机器人j向相邻机器人主动发送连接探测信息:通过自身的所有数据接口发送连接请求,所传输的信息至少包含本机器人的标识IDj,具体方式为网络通信领域通识方法,不再赘述。若机器人j的接口p(1≤p≤nj)接收到相邻机器人的回复的连接探测信息,设读取到其中包含的与接口p相连的机器人的标识为IDk,则令ljp=IDk;若接口p(1≤p≤nj)未接收到回复,则意味着接口p未连接机器人或连接机器人失效,则令ljp=0。(1) Robot j actively sends connection detection information to neighboring robots: it sends connection requests through all its own data interfaces, and the transmitted information at least contains the identification ID j of the robot. Repeat. If the interface p (1≤p≤n j ) of the robot j receives the connection detection information replied by the adjacent robot, let the ID k of the robot connected to the interface p read therein be ID k , then let l jp = ID k ; if the interface p (1≤p≤n j ) does not receive a reply, it means that the interface p is not connected to the robot or the connected robot fails, then let l jp =0.
(2)机器人j回复相邻机器人的连接探测信息:若机器人j的接口r接收到相邻机器人的连接探测信息,设读取到其中包含的与接口r相连的机器人的标识为IDk,令Ljr=IDk,并通过接口r回复自身的连接探测信息。(2) The robot j replies to the connection detection information of the adjacent robot: if the interface r of the robot j receives the connection detection information of the adjacent robot, let the ID of the robot connected to the interface r contained in it read be ID k , let L jr =ID k , and reply its own connection detection information through interface r.
步骤二:控制参数初始化Step 2: Initialize control parameters
本步骤的目的是接收地面遥控指令,通过机器人之间信息交互逐渐更新所有机器人的控制期望值。The purpose of this step is to receive ground remote control commands, and gradually update the control expectations of all robots through information interaction between robots.
设所有机器人中可接收地面遥控指令的机器人的集合为Ccom,集合大小为Ncom(1≤Ncom≤N)。Let the set of all robots that can receive ground remote control commands be C com , and the set size is N com (1≤N com ≤N).
对于所有机器人IDl∈Ccom,其接收到地面测控站发送的期望姿态σd,记录接收时间Tl。For all robot IDs l ∈ C com , they receive the desired attitude σ d sent by the ground measurement and control station, and record the receiving time T l .
机器人l根据自身信息连接列表Ll,将σd和Tl发送给Ll中的所有相邻机器人。不妨设某一个相邻机器人为m,机器人m接收到σd和Tl后,比较Tl和Tm。Robot l connects the list L l according to its own information, and sends σ d and T l to all neighboring robots in L l . Might as well set a certain adjacent robot as m, after robot m receives σ d and T l , compares T l and T m .
若Tl>Tm,则更新自身记录的σd,令Tm=Tl,并将σd和更新时间Tm向除机器人l外的所有相邻机器人进一步转发;否则忽略。If T l >T m , update the self-recorded σ d , let T m =T l , and forward σ d and the update time T m to all neighboring robots except robot 1; otherwise, ignore.
步骤三:计算控制力矩Step 3: Calculate the control torque
所有机器人进行控制力矩计算,对于机器人IDξ∈X,设其利用传感器测得用修正罗德里格斯参数表示的航天器姿态σξ∈R3、角速度ωξ∈R3和角加速度根据自身测量数据和控制参数计算控制力矩:All robots perform control torque calculation. For robot ID ξ ∈X, let it use sensors to measure spacecraft attitude σ ξ ∈ R 3 , angular velocity ω ξ ∈ R 3 and angular acceleration expressed by modified Rodrigues parameters Calculate the control torque according to its own measurement data and control parameters:
每个机器人控制参数为三组:There are three groups of control parameters for each robot:
包括参数参数Dξ=diag(δξ1,δξ2,δξ3)、Kξ=diag(κξ1,κξ2,κξ3),其中δξ1,δξ2,δξ3≥0,κξ1,κξ2,κξ3>0,所有机器人的控制参数初始值均设定为一致,并在步骤五进行更新。根据控制参数Jξ、Dξ、Kξ和期望姿态σd计算机器人ξ的控制力矩τξ,计算方式如下:include parameters Parameters D ξ =diag(δ ξ1 ,δ ξ2 ,δ ξ3 ), K ξ =diag(κ ξ1 ,κ ξ2 ,κ ξ3 ), where δ ξ1 , δ ξ2 , δ ξ3 ≥0, κ ξ1 , κ ξ2 , κ ξ3 >0, the initial values of all the robot control parameters are set to be the same, and are updated in step 5. Calculate the control torque τ ξ of the robot ξ according to the control parameters J ξ , D ξ , K ξ and the desired attitude σ d , and the calculation method is as follows:
其中σe为修正罗德里斯参数表示下的姿态误差,为业内通识方法,不属于本发明内容,具体表达式为:Among them, σ e is the attitude error expressed by the modified Rodris parameter, which is a general knowledge method in the industry and does not belong to the content of the present invention. The specific expression is:
步骤四:参数比例因子计算Step 4: Parameter scale factor calculation
每个机器人根据自身剩余能量计算自身的参数比例因子,对于机器人IDζ∈X,参数比例因子Wζ=[Wζ1 Wζ2 Wζ3],其中各元素取值范围为[0 1]。具体计算方式如下:Each robot calculates its own parameter scale factor according to its own residual energy. For robot ID ζ ∈X, the parameter scale factor W ζ = [W ζ1 W ζ2 W ζ3 ], where the value range of each element is [0 1]. The specific calculation method is as follows:
(1)若机器人ζ执行器为推力器,其剩余推进剂计算可以采用以下(3)、(4)两式之一(1) If the robot ζ actuator is a thruster, one of the following two formulas (3) and (4) can be used to calculate the remaining propellant.
其中A为常数,取值范围为3~100;B为常数,取值范围为1~10;eζ为机器人剩余推进剂质量,efull为机器人燃料储箱的总量。Among them, A is a constant with a value range of 3 to 100; B is a constant with a value range of 1 to 10; e ζ is the remaining mass of the propellant of the robot, and e full is the total amount of the robot's fuel tank.
(2)若机器人ζ执行器为三个正交安装的反作用飞轮,其剩余能量可以用以下(5)、(6)两式之一进行计算(2) If the robot ζ actuator is three orthogonally installed reaction flywheels, its residual energy can be calculated by one of the following formulas (5) and (6)
其中,rζ1、rζ2、rζ3分别为机器人ζ三个反作用飞轮的旋转速度;rfull为飞轮饱和转速;αζ1,αζ2,αζ3分别利用如下式计算Among them, r ζ1 , r ζ2 , r ζ3 are the rotational speeds of the three reaction flywheels of the robot ζ, respectively; r full is the saturated rotational speed of the flywheel; α ζ1 , α ζ2 , α ζ3 are calculated by the following formulas respectively
其中Tζ为机器人ζ飞轮配置矩阵,表示飞轮旋转轴坐标系与惯性坐标系的旋转矩阵,为业内通识方法,不再赘述。in T ζ is the robot ζ flywheel configuration matrix, which represents the rotation matrix of the flywheel rotation axis coordinate system and the inertial coordinate system, which is a common method in the industry, and will not be repeated here.
步骤五:控制参数更新Step 5: Control parameter update
所有机器人定时与相邻机器人进行控制参数和参数比例因子的更新,对于机器人 All robots regularly update control parameters and parameter scaling factors with neighboring robots. For robots
情况1:机器人主动发送信息的具体方式如下:Case 1: Robot The specific ways of actively sending information are as follows:
机器人按照记录的相邻机器人ID,依次与其相连的机器人进行数据交换:robot according to The recorded IDs of adjacent robots, in turn, exchange data with the robots connected to them:
步骤(1):另q=1;Step (1): another q=1;
步骤(2):判断的值,若则跳至步骤(3);若假设表示机器人的接口q和机器人π相连,机器人将 发送给机器人π,机器人π回复自身的Wπ,δπ1,δπ2,δπ3,κπ1,κπ2,κπ3数据。完成信息交互后机器人和机器人π分别按照下式更新自身的参数比例因子和控制参数Step (2): Judgment value, if Then skip to step (3); if Assumption Represents a robot The interface q is connected to the robot π, the robot Will Send to robot π, robot π replies with its own W π , δ π1 , δ π2 , δ π3 , κ π1 , κ π2 , κ π3 data. After completing the information interaction, the robot and robot π to update their own parameter scale factors and control parameters according to the following formulas respectively
步骤(3):q=q+1若则返回步骤三,否则进行步骤(2)。Step (3): if q=q+1 Then go back to step 3, otherwise go to step (2).
情况2:机器人接收到相邻机器人的信息,处理方式和步骤(2)中的机器人π的处理步骤一致。Case 2: Robot When the information of the adjacent robot is received, the processing method is the same as that of the robot π in step (2).
本步骤执行完毕后返回步骤三。After this step is completed, go back to step 3.
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010515768.8A CN111625012B (en) | 2020-06-09 | 2020-06-09 | A distributed collaborative operation method for multi-space robots |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010515768.8A CN111625012B (en) | 2020-06-09 | 2020-06-09 | A distributed collaborative operation method for multi-space robots |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111625012A true CN111625012A (en) | 2020-09-04 |
CN111625012B CN111625012B (en) | 2022-12-06 |
Family
ID=72271437
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010515768.8A Active CN111625012B (en) | 2020-06-09 | 2020-06-09 | A distributed collaborative operation method for multi-space robots |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111625012B (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107291094A (en) * | 2017-05-08 | 2017-10-24 | 大陆智源科技(北京)有限公司 | Unmanned plane robot cooperating system |
CN108927803A (en) * | 2018-07-25 | 2018-12-04 | 西北工业大学 | One kind arresting antihunt means in continuous impact conditions down space robot target |
CN109164822A (en) * | 2018-09-26 | 2019-01-08 | 北京航空航天大学 | It is a kind of based on have mixing executing agency Spacecraft Attitude Control method |
CN109459931A (en) * | 2018-05-09 | 2019-03-12 | 南京理工大学 | A kind of Spacecraft formation finite time posture fault tolerant control method |
CN109540150A (en) * | 2018-12-26 | 2019-03-29 | 北京化工大学 | One kind being applied to multi-robots Path Planning Method under harmful influence environment |
CN110134018A (en) * | 2019-06-17 | 2019-08-16 | 哈尔滨工程大学 | A multi-legged cooperative control method for an underwater multi-legged robot system |
CN110231029A (en) * | 2019-05-08 | 2019-09-13 | 西安交通大学 | A kind of underwater robot Multi-sensor Fusion data processing method |
CN110262256A (en) * | 2019-07-18 | 2019-09-20 | 浙江大学 | A kind of polygon adaptive sliding-mode observer method of non-linear remote control system |
US20200166952A1 (en) * | 2018-11-27 | 2020-05-28 | Institute For Information Industry | Coach apparatus and cooperative operation controlling method for coach-driven multi-robot cooperative operation system |
-
2020
- 2020-06-09 CN CN202010515768.8A patent/CN111625012B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107291094A (en) * | 2017-05-08 | 2017-10-24 | 大陆智源科技(北京)有限公司 | Unmanned plane robot cooperating system |
CN109459931A (en) * | 2018-05-09 | 2019-03-12 | 南京理工大学 | A kind of Spacecraft formation finite time posture fault tolerant control method |
CN108927803A (en) * | 2018-07-25 | 2018-12-04 | 西北工业大学 | One kind arresting antihunt means in continuous impact conditions down space robot target |
CN109164822A (en) * | 2018-09-26 | 2019-01-08 | 北京航空航天大学 | It is a kind of based on have mixing executing agency Spacecraft Attitude Control method |
US20200166952A1 (en) * | 2018-11-27 | 2020-05-28 | Institute For Information Industry | Coach apparatus and cooperative operation controlling method for coach-driven multi-robot cooperative operation system |
CN109540150A (en) * | 2018-12-26 | 2019-03-29 | 北京化工大学 | One kind being applied to multi-robots Path Planning Method under harmful influence environment |
CN110231029A (en) * | 2019-05-08 | 2019-09-13 | 西安交通大学 | A kind of underwater robot Multi-sensor Fusion data processing method |
CN110134018A (en) * | 2019-06-17 | 2019-08-16 | 哈尔滨工程大学 | A multi-legged cooperative control method for an underwater multi-legged robot system |
CN110262256A (en) * | 2019-07-18 | 2019-09-20 | 浙江大学 | A kind of polygon adaptive sliding-mode observer method of non-linear remote control system |
Non-Patent Citations (3)
Title |
---|
HAITAO CHANG: "Inertia parameters identication for cellular space robot through interaction", 《AEROSPACE SCIENCE AND TECHNOLOGY》 * |
PANFENG HUANG: "Approach Trajectory Planning of Space Robot for Impact Minimization", 《PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION》 * |
翟光等: "基于集群空间机器人的合作目标协同定位技术", 《北京理工大学学报》 * |
Also Published As
Publication number | Publication date |
---|---|
CN111625012B (en) | 2022-12-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110262557A (en) | Quadrotor formation finite time fault tolerant control method based on sliding formwork control technology | |
CN113296507B (en) | Multi-power positioning ship cooperative formation control method based on space-time decoupling | |
CN113268084B (en) | Intelligent fault-tolerant control method for unmanned aerial vehicle formation | |
CN103256928A (en) | Distributed inertial navigation system and posture transfer alignment method thereof | |
CN112527015B (en) | Event triggering-based firefighting unmanned aerial vehicle formation sliding mode control method | |
CN108540311B (en) | Fault detection deep learning network processing method and device of satellite actuating mechanism | |
CN108312146B (en) | Modular robot decentralized control method and system | |
CN102291739B (en) | Method for detecting wireless sensor network sparse events based on compressed sensing and game theory | |
CN109857117A (en) | Unmanned ship cluster formation method based on distributed pattern matching | |
CN116880478A (en) | An event-triggered wheeled robot sliding mode formation fault-tolerant control method | |
CN107036626A (en) | A kind of long-range rocket initial alignment orientation error impact analysis method | |
CN111625012B (en) | A distributed collaborative operation method for multi-space robots | |
CN110502023B (en) | A realization method of spacecraft attitude determination based on distributed intelligent sensors | |
CN116266061A (en) | An RTX-based intelligent ammunition cooperative combat system evaluation simulation platform | |
Xie et al. | Adaptive optimal tracking control for multi‐joint manipulator on space robot | |
CN118567386A (en) | A hypersonic vehicle attitude control method based on robust adversarial reinforcement learning | |
CN114326819A (en) | Unmanned aerial vehicle modeling and structural damage self-adaptive fault-tolerant control method based on coupling force field | |
CN114020038A (en) | Self-adaptive sliding mode attitude tracking control method and system for multi-quad-rotor unmanned aerial vehicle | |
CN113655808A (en) | Limited-time autonomous formation control method and control system for swarms | |
CN118433041A (en) | Unmanned aerial vehicle autonomous network topology recovery method based on energy constraint | |
Sun et al. | Adaptive control of space robot despinning tumbling target using flexible brushes | |
CN111273697A (en) | Unmanned aerial vehicle group burst release method | |
CN115327906B (en) | A design method and system for a fault-tolerant controller for a quadrotor drone | |
CN115268480B (en) | Method, device and medium for attitude control of underactuated spacecraft based on Lie algebra | |
CN115828586A (en) | Method for detecting digital twin faults of gravitational wave detection platform based on interval observer |
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 |