CN105184385B - A kind of distributed control method of automated manufacturing system - Google Patents

A kind of distributed control method of automated manufacturing system Download PDF

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CN105184385B
CN105184385B CN201510434111.8A CN201510434111A CN105184385B CN 105184385 B CN105184385 B CN 105184385B CN 201510434111 A CN201510434111 A CN 201510434111A CN 105184385 B CN105184385 B CN 105184385B
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胡核算
陈晨
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Xidian University
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract

一种针对将装配操作嵌入到柔性加工路径中的自动制造系统,首先根据系统的当前状态,得出可以使能的变迁的集合Ten;进而判断Ten中每个元素是否可以保证系统无死锁运行。判断的依据是:模拟发射元素t∈Ten,根据t的位置,若当前资源可以支持对应的托肯抵达一个关键库所/关键库所统一体的子关键库所,针对关键库所统一体的情况,需要保证装配操作的其他平行进程的托肯都能抵达各自对应的子关键库所,那么t∈Tdf。当所有的变迁都检测完毕后,得到Tdf,发射t∈Tdf,进入到下一个状态,重新判断。本发明能够保证系统的无死锁性,并尽可能的获得较大的许可性,采用边预测边控制的方式,实现实时的在线的控制。An automatic manufacturing system for embedding assembly operations into flexible processing paths, firstly, according to the current state of the system, obtain the set T en of the transitions that can be enabled; and then judge whether each element in T en can ensure that the system is not dead lock operation. The basis for judgment is: simulated emission element t∈T en , according to the position of t, if the current resource can support the corresponding token to reach a key place/sub-key place of the key place continuum, for the key place continuum In the case of , it is necessary to ensure that the tokens of other parallel processes of the assembly operation can reach their corresponding sub-key locations, then t∈T df . When all transitions are detected, T df is obtained, t∈T df is emitted, and the next state is entered for re-judgment. The invention can ensure the deadlock-free property of the system, obtain greater permissibility as much as possible, and realize real-time online control by adopting the mode of controlling while predicting.

Description

一种自动制造系统的分布式控制方法A Distributed Control Method for Automatic Manufacturing System

技术领域technical field

本发明属于自动制造系统技术领域,涉及一种自动制造系统的分布式控制方法。The invention belongs to the technical field of automatic manufacturing systems, and relates to a distributed control method for automatic manufacturing systems.

背景技术Background technique

在过去的数十年里,随着信息技术、自动化技术和计算技术的广泛应用,传统的制造系统逐渐转变为自动制造系统,其目标是极大地降低制造成本、提高产品质量并且确保生产安全,并可以对市场变化和定制要求做出快速响应。自动制造系统中的无死锁性可以类比于连续系统中的稳定性,一个制造系统无论性能多么优良,一旦出现死锁都是不可以接受的,因为这意味着系统随时可能出现生产停滞现象,从而造成严重的甚至灾难性的后果。解决自动制造系统中的死锁问题,人们主要采用三种数学工具:有向图、自动机和Petri网。Petri网可以更加恰当地模拟、分析和控制自动制造系统。具有柔性加工路径的自动制造系统能适应加工对象变换的自动化机械制造系统,能自动调整并实现一定范围内多种工件的成批高效生产,并能及时地改变产品以满足市场需求。具有装配操作的自动制造系统可以生产需要平行加工进程并进行装配操作的产品。这两种系统各自拥有对方不可替代的优势。针对这两种系统各自的研究,已经相当广泛和深入,但是将二者结合起来的研究尚浅。In the past few decades, with the wide application of information technology, automation technology and computing technology, the traditional manufacturing system has gradually transformed into an automatic manufacturing system. The goal is to greatly reduce manufacturing costs, improve product quality and ensure production safety. And can respond quickly to market changes and customization requirements. The deadlock-free nature of an automatic manufacturing system can be compared to the stability of a continuous system. No matter how good a manufacturing system is, once a deadlock occurs, it is unacceptable, because it means that the system may stagnate production at any time. This can lead to serious or even catastrophic consequences. To solve the deadlock problem in the automatic manufacturing system, people mainly use three kinds of mathematical tools: directed graph, automaton and Petri net. Petri nets can more properly simulate, analyze and control automatic manufacturing systems. The automatic manufacturing system with flexible processing path can adapt to the automatic mechanical manufacturing system of the processing object change, can automatically adjust and realize the efficient batch production of various workpieces within a certain range, and can change products in time to meet market demand. An automated manufacturing system with assembly operations can produce products that require parallel machining processes and assembly operations. These two systems each have irreplaceable advantages of the other. The research on these two systems has been quite extensive and in-depth, but the research on the combination of the two systems is still shallow.

基本的分布式的预测控制方法,在只具有柔性加工路径的自动制造系统中得到了很好的应用,例如S4R结构的自动制造系统。具体体现在,首先假设当任意进程正在进行特定操作时,其他进程都暂时处于停止状态直到该操作执行完毕。针对该特定进程,可以预测其中任意托肯是否可以从当前位置前进到距离其最近的目标位置或者具有最大资源占有量的位置。如果该预测结果为真,则该托肯可以前进一步;否则,就必须暂停在当前位置。因此,这些目标位置或者具有最大资源占有量的位置就被记为关键库所。该方法的具体实施过程可以参考论文《Distributed Supervisor Synthesis for Automated ManufacturingSystems Using Petri Nets》。但是针对具有装配操作的系统,该方法存在局限性。因此,该方法理论上很好,但是在广泛推广的过程中存在缺陷。The basic distributed predictive control method has been well applied in the automatic manufacturing system with only flexible processing paths, such as the automatic manufacturing system of S 4 R structure. Specifically, it is first assumed that when any process is performing a specific operation, other processes are temporarily stopped until the operation is completed. For this specific process, it can be predicted whether any token can advance from the current position to the nearest target position or the position with the largest resource occupancy. If the prediction is true, the token can move forward; otherwise, it must pause at its current position. Therefore, these target locations or locations with the largest resource occupancy are counted as key places. The specific implementation process of this method can refer to the paper "Distributed Supervisor Synthesis for Automated Manufacturing Systems Using Petri Nets". But for systems with assembly operations, this method has limitations. Therefore, the method is good in theory, but there are flaws in the process of widespread promotion.

尤其针对同时具有柔性加工路径和装配操作的自动制造系统,基本的分布式的预测控制方法已经不具有适用性。具体体现在:1.装配操作需要各个平行进程同步进行,在各个平行进程的最后一个加工阶段完成装配操作。因此,如果单纯在一个平行进程中定义关键库所,即使托肯可以到达这些关键库所,并不能保证系统可以完成装配操作,装配操作的完成是需要各个平行进程协同完成的。2.由于装配操作被嵌入到柔性加工路径中,系统的复杂性大大增强。按照基本的分布式的预测控制方法,托肯每前进一步之前,必须要检验现有的资源是否可以支持其到达距离它最近的关键库所。但是在这种复杂的系统中,如果以托肯到达其最近的关键库所为标准的话,也可以保证系统的无死锁性,但是会大大降低系统的许可性,从而影响系统的性能。Especially for automatic manufacturing systems with flexible processing paths and assembly operations, the basic distributed predictive control methods are no longer applicable. It is specifically reflected in: 1. The assembly operation needs all parallel processes to be carried out synchronously, and the assembly operation is completed in the last processing stage of each parallel process. Therefore, if the key places are simply defined in a parallel process, even if Token can reach these key places, it does not guarantee that the system can complete the assembly operation, and the completion of the assembly operation requires the cooperation of all parallel processes. 2. Since the assembly operations are embedded in the flexible processing path, the complexity of the system is greatly enhanced. According to the basic distributed predictive control method, Token must check whether the existing resources can support it to reach the key place closest to it before each step forward. But in such a complex system, if the Token arrives at its nearest key storehouse as the standard, the deadlock-free nature of the system can also be guaranteed, but the permission of the system will be greatly reduced, thereby affecting the performance of the system.

发明内容Contents of the invention

为克服现有技术中的问题,本发明的目的在于提供一种自动制造系统的分布式控制方法,该方法适用于同时具有柔性加工路径和装配操作的自动制造系统,并且能够增强对复杂制造系统的控制能力,同时采用该方法能够获得更高的许可性。In order to overcome the problems in the prior art, the purpose of the present invention is to provide a distributed control method for automatic manufacturing systems, which is suitable for automatic manufacturing systems with flexible processing paths and assembly operations, and can enhance the control of complex manufacturing systems. control capabilities, and at the same time adopting this method can obtain higher permissibility.

为实现上述目的,本发明采用如下的技术方案:To achieve the above object, the present invention adopts the following technical solutions:

一种自动制造系统的分布式控制方法,包括以下步骤:A distributed control method for an automatic manufacturing system, comprising the following steps:

1)初始化,使其中,Ten是使能的变迁的集合,Tdf是使自动制造系统无死锁运行的变迁的集合;1) Initialize, make Among them, T en is the set of enabled transitions, and T df is the set of transitions that make the automatic manufacturing system run without deadlock;

2)采集自动制造系统当前的状态M;2) Collect the current state M of the automatic manufacturing system;

3)根据当前状态M,检验自动制造系统中每一个变迁是否使能,若ti是使能的,则Ten=Ten+{ti},其中ti是自动制造系统中任意一个变迁;3) According to the current state M, check whether each transition in the automatic manufacturing system is enabled, if t i is enabled, then T en =T en +{t i }, where t i is any transition in the automatic manufacturing system ;

4)判断Ten中的任意一个元素t是否位于表示装配操作的标志图模块中;4) Judging whether any element t in T en is located in the sign diagram module representing the assembly operation;

5)当Ten中的任意一个元素t位于表示装配操作的标志图模块中时,模拟发射元素t;5) When any element t in T en is located in the sign diagram module representing the assembly operation, simulate the emission of element t;

6)当t∈Ten,并且t不位于表示装配操作的标志图模块中时,模拟发射元素t,若当前的资源能够支持发射元素t对应的移动的托肯到达中的一个关键库所,那么Tdf=Tdf+{t},否则,进行步骤4);其中,是系统中标志图模块被一个库所以及它的前置集和后置集整体代替以后的系统结构的关键库所的集合;6) When t ∈ T en , and t is not located in the sign diagram module representing the assembly operation, simulate the emission element t, if the current resource can support the arrival of the moving Token corresponding to the emission element t A key place in , then T df =T df +{t}, otherwise, Carry out step 4); Wherein, It is the collection of key places of the system structure after the sign diagram module in the system is replaced by a place and its pre-set and post-set as a whole;

7)当Ten中所有的变迁都检测完毕后,得到使得系统无死锁运行的变迁的集合Tdf,输出任意t∈Tdf,自动制造系统发射t,进入到下一个状态,然后再返回步骤1)。7) When all the transitions in T en are detected, get the transition set T df that makes the system run without deadlock, output any t∈T df , the automatic manufacturing system emits t, enters the next state, and then returns step 1).

所述步骤5)具体包括以下步骤:Described step 5) specifically comprises the following steps:

5.1)若当前的资源能够支持发射t对应的移动的托肯到达关键库所统一体中的一个子关键库所,并且在表示装配操作的标志图模块的其他所有平行进程中,存在托肯能够到达该关键库所统一体中对应的子关键库所时,Tdf=Tdf+{t};5.1) If the current resource can support the launch of the mobile token corresponding to t to reach a sub-key place in the key place continuum, and in all other parallel processes of the sign diagram module representing the assembly operation, there is a token that can When arriving at the corresponding sub-key place in the key place continuum, T df =T df +{t};

5.2)若当前的资源能够支持发射t对应的移动的托肯到达关键库所统一体中的一个子关键库所,并且在表示装配操作的标志图模块的其他所有平行进程中,不存在托肯能够到达该关键库所统一体中的子关键库所时,则进行步骤4);5.2) If the current resource can support the launch of the mobile token corresponding to t to reach a subkey place in the key place continuum, and there is no Token in all other parallel processes of the sign diagram module representing the assembly operation When the sub-key places in the key place continuum can be reached, then Go to step 4);

5.3)若当前的资源不能支持发射t对应的移动的托肯到达关键库所统一体中的一个子关键库所,则进行步骤4)。5.3) If the current resource cannot support the launch of the mobile Token corresponding to t to reach a sub-key place in the key place continuum, then Proceed to step 4).

所述标志图模块的关键库所统一体的集合CMG与系统中标志图模块被一个库所代替以后的系统结构的关键库所的集合的并集为整个自动制造系统的关键库所的集合C。The set C MG of the key place continuum of the sign graph module and the set of key places of the system structure after the sign map module is replaced by a store in the system The union of is the set C of the key warehouses of the entire automatic manufacturing system.

所述标志图模块的关键库所统一体为若干个子关键库所所组成的序偶;子关键库所分别分布在各个平行进程中,并且子关键库具有相同的类型;关键库所统一体中子关键库所的个数等于该标志图模块的平行进程的条数。The key storehouse unity of the sign diagram module is a sequence pair composed of several subkey storehouses; the subkey storehouses are respectively distributed in each parallel process, and the subkey storehouses have the same type; The number of sub-key stores is equal to the number of parallel processes of the logogram module.

与现有技术相比,本发明具有的有益效果:本发明通过先采集原系统的状态M,根据当前的状态,通过运行该方法,得到确保系统无死锁性的可发射的变迁的集合Tdf,最后为了确保系统的许可性,随机输出指令,即随机输出Tdf中一个变迁t,进而系统收到指令,发射元素t,进入下一个状态,重新采集当前状态进行新一轮的预测。本发明的步骤1)~步骤7)构成了本发明中提出的自动制造系统的活性监督控制器,活性即系统无死锁性。本发明旨在通过分布式的控制方法生成自动制造系统的活性监督控制器,从而保证系统的无死锁性,并尽可能的获得较大的许可性。这种控制方法采用边预测边控制的方式,实现实时的在线的控制。Compared with the prior art, the present invention has the beneficial effects: the present invention collects the state M of the original system first, and according to the current state, by running the method, obtains the set T of transmissible transitions that ensure the system is free of deadlock df , finally, in order to ensure the permissibility of the system, randomly output instructions, that is, randomly output a transition t in T df , and then the system receives the instruction, emits element t, enters the next state, and re-acquires the current state for a new round of prediction. Steps 1) to 7) of the present invention constitute the activity supervisory controller of the automatic manufacturing system proposed in the present invention, and activity means that the system has no deadlock. The invention aims to generate an active supervisory controller of an automatic manufacturing system through a distributed control method, so as to ensure the deadlock-free property of the system and obtain greater permission as much as possible. This control method adopts the method of predicting and controlling to realize real-time online control.

本发明的控制方法的关键点如下:The key points of the control method of the present invention are as follows:

首先,库所被区分为关键库所和非关键库所(即系统中除了关键库所以外的其他所有库所)。前者代表拥有最小或者最大资源占有量的位置;后者代表其他位置。从资源获取的角度看,在拥有最小资源占有量的位置之后,必然有着足够充分的资源;在拥有最大资源占有量的位置之后,必然不再需要更多的资源。关键库所的存在性是毋庸质疑的,因为在初始和目标位置,没有资源被占有,它们本身就是关键库所。关键库所在进程中的作用犹如“安全岛”。针对AESM(具有柔性加工路径和装配操作的自动制造系统),该发明扩展了关键库所原有的概念。关键库所的本质含义在于,它是一个进程中使用资源最多或者最少的库所。因此,这些目标位置或者具有最大资源占有量或最少资源占有量的位置就被记为关键库所。但是在AESM中,标志图模块表示装配操作,它的开始与结束,标志着它的所有平行进程必须同时开始与结束。因此在标志图模块中,关键库所不再是单纯的某一个库所,而是一个关键库所统一体,统一体中每一个元素被称为一个子关键库所。关键库所统一体实际上是子关键库所的序偶。所有的子关键库所分别分布在各个平行进程中,代表了该平行进程中使用资源最多或者最少的库所。一个关键库所统一体中,子关键库所的数量等于该标志图模块中平行进程的数量,并且子关键库必须具有相同的类型,即要么全部为使用资源最多的库所,要么全部为使用资源最少的库所。系统中不含标志图模块的其他部分,关键库所仍然为使用资源最多或最少的库所,因为如果标志图模块被一个库所代替以后,其结构就是S4R结构,关键库所的定义与基本的预测控制方法中的定义相同。First, places are divided into key places and non-key places (that is, all places in the system except key places). The former represents the position with the smallest or largest resource occupancy; the latter represents other positions. From the perspective of resource acquisition, after the position with the smallest resource occupation, there must be sufficient resources; after the position with the largest resource occupation, no more resources are bound to be needed. The existence of key places is unquestionable, because at the initial and target positions, no resources are occupied, and they are themselves key places. The role of the key library in the process is like a "safety island". For AESM (Automated Manufacturing System with Flexible Process Path and Assembly Operations), the invention extends the original concept of the key store. The essential meaning of the key repository is that it is the repository that uses the most or the least resources in a process. Therefore, these target locations or locations with the largest resource occupancy or the least resource occupancy are counted as key places. But in AESM, the sign diagram module represents the assembly operation, its start and end, marking that all its parallel processes must start and end at the same time. Therefore, in the symbol diagram module, the key place is no longer a simple place, but a continuum of key places, and each element in the continuum is called a sub-key place. The key-place continuum is actually an ordinal pair of sub-key-places. All the sub-key places are respectively distributed in each parallel process, representing the places that use the most or the least resources in the parallel process. In a key place continuum, the number of sub-key places is equal to the number of parallel processes in the flag map module, and the sub-key places must have the same type, that is, all of them are places that use the most resources, or all use The place with the fewest resources. For other parts of the system that do not contain the logogram module, the key place is still the place that uses the most or the least resources, because if the logogram module is replaced by a library, its structure is the S 4 R structure, the definition of the key place Same definition as in the basic predictive control method.

其次,本发明采取边预测、边控制的在线实时方式运行,即使资源充分,足够支持其中特定托肯前进一步后继续前进,控制方法也只允许它前进一步。当其他进程都处于停止状态,现有的资源完全可以支持该托肯前进到下一个关键位置。Secondly, the present invention operates in an online real-time mode while predicting and controlling. Even if the resources are sufficient to support a specific Token to move forward after taking a step, the control method only allows it to move forward. When other processes are stopped, the existing resources can fully support the Token to advance to the next key position.

最后,本发明的控制方法的运行无需检测全局信息。每一步的执行仅仅取决于现有资源是否充分。除了当前进程,无需知道其他进程的状态。由于具有柔性加工路径和装配操作的系统运行完全取决于局部信息,因此该控制方法巧妙地实现了分布式的运行方式,极大地减小了控制器与各个进程间的通信流量。Finally, the control method of the invention operates without detecting global information. The execution of each step depends only on the adequacy of existing resources. Apart from the current process, there is no need to know the status of other processes. Since the operation of the system with flexible processing paths and assembly operations depends entirely on local information, the control method cleverly implements a distributed operation mode, which greatly reduces the communication flow between the controller and each process.

因此,本发明的控制方法适用于实际中更加复杂的自动制造系统,增强对复杂制造系统的控制能力。最后,扩展了关键库所的定义,使得新的定义涵盖了原来的定义,并且可以准确的描述AESM中关键库所的位置。采用本发明的方法可以获得更高的许可性。Therefore, the control method of the present invention is applicable to more complex automatic manufacturing systems in practice, and enhances the control ability of complex manufacturing systems. Finally, the definition of key places is extended so that the new definition covers the original definition and can accurately describe the position of key places in AESM. Higher permissibility can be obtained by using the method of the present invention.

附图说明Description of drawings

图1是控制器与Petri网构成的反馈系统图;Figure 1 is a feedback system diagram composed of a controller and a Petri net;

图2是本发明的流程图。Fig. 2 is a flow chart of the present invention.

图3是3个标志图模块说明图,其中,图3(a)和图3(b)都是标志图模块,图3(c)不是标志图模块。Fig. 3 is an explanatory diagram of three logogram modules, in which Fig. 3(a) and Fig. 3(b) are both logogram modules, and Fig. 3(c) is not a logogram module.

图4是由SSM到ESSM的过程示意图,其中,图4(a)是一个简单的状态机(SSM),图4(b)为扩展的状态机(ESSM)。Fig. 4 is a schematic diagram of the process from SSM to ESSM, wherein Fig. 4(a) is a simple state machine (SSM), and Fig. 4(b) is an extended state machine (ESSM).

图5是一个AESM实例结构图。Figure 5 is a structural diagram of an AESM instance.

具体实施方式Detailed ways

下面结合附图对本发明进行详细说明。The present invention will be described in detail below in conjunction with the accompanying drawings.

本发明中的系统是指同时具有柔性加工路径和装配操作的系统,更具体讲,是将装配操作嵌入到柔性加工路径中,并且该发明是一个在线式的、实时的分布式控制方法。The system in the present invention refers to a system that has both flexible processing paths and assembly operations, more specifically, embeds assembly operations into flexible processing paths, and the invention is an online, real-time distributed control method.

本发明的核心思想,就是要区别对待AESM中的标志图模块和其他部分,更具体地讲,就是要区别对待关键库所统一体和关键库所。从理解的角度讲,可以这样来阐述方法的本质:首先,先将标志图模块虚拟为一个库所,因为AESM中的标志图模块本身可以看作是由一个库所替代而来的。这时候网络结构就是典型的S4R,关键库所就是各个进程中,使用资源最多或者最少的库所。然后,针对每个标示图模块,各个击破,找到所有的子关键库所,子关键库所是该标志图模块中每一条平行进程中使用资源最多或者最少的库所;标志图模块的关键库所统一体由每条平行进程中的子关键库所组合的序偶,因此,关键库所统一体中子关键库所的个数就等于标志图模块中平行路径的条数。另外要注意的是,关键库所统一体中的子关键库所必须为同一种类型,即或者都是使用资源最多的子关键库所,或者都是使用资源最少的子关键库所。最后,运行系统,托肯还没有前进到标志图模块时,把标志图模块看做是一个库所,当现有资源可以支持该托肯前进到任意一个关键库所时,该托肯可以前进一步;当托肯进入到标志图模块时,每个平行进程中的托肯每前进一步前,必须保证该托肯能到达它的子关键库所,并且,其他所有平行进程中的托肯都能到达对应的子关键库所,即保证一个关键库所统一体中的每一个子关键库所存在托肯都能到达,才能使得这个托肯前进一步。The core idea of the present invention is to treat the sign map module and other parts in the AESM differently, more specifically, to treat the key storehouse entity and the key storehouse differently. From the point of view of understanding, the essence of the method can be described as follows: First, the sign map module is virtualized as a place, because the sign map module in AESM itself can be regarded as a place replaced by a place. At this time, the network structure is a typical S4R , and the key place is the place that uses the most or the least resources in each process. Then, for each map module, break through each to find all the sub-key places, which are places that use the most or the least resources in each parallel process in the map module; the key store of the map module The continuum is the sequence pair combined by the sub-key stores in each parallel process. Therefore, the number of sub-key stores in the key store continuum is equal to the number of parallel paths in the symbol graph module. In addition, it should be noted that the sub-key places in the key place continuum must be of the same type, that is, they are all sub-key places that use the most resources, or all use the least resources. Finally, when running the system, when the Token has not advanced to the logo map module, the logo map module is regarded as a warehouse. When the existing resources can support the Token to advance to any key warehouse, the Token can go forward Further; when a Token enters the sign map module, each Token in each parallel process must ensure that the Token can reach its sub-key store, and the Tokens in all other parallel processes must To be able to reach the corresponding sub-key storehouse, that is, to ensure that every sub-key storehouse in a key storehouse continuum has a Token can reach it, so that this Token can move forward.

参见图2,本发明的控制方法,针对的是具有柔性加工路径和装配操作的自动制造系统,具体包括以下步骤:Referring to Fig. 2, the control method of the present invention is aimed at an automatic manufacturing system with flexible processing paths and assembly operations, and specifically includes the following steps:

1)初始化,使其中,Ten是使能的变迁的集合,Tdf是使自动制造系统无死锁运行的变迁的集合;1) Initialize, make Among them, T en is the set of enabled transitions, and T df is the set of transitions that make the automatic manufacturing system run without deadlock;

2)采集自动制造系统当前的状态M;2) Collect the current state M of the automatic manufacturing system;

3)根据当前状态M,检验自动制造系统中每一个变迁是否使能,若ti是使能的,则Ten=Ten+{ti},其中ti是自动制造系统中任意一个变迁;3) According to the current state M, check whether each transition in the automatic manufacturing system is enabled, if t i is enabled, then T en =T en +{t i }, where t i is any transition in the automatic manufacturing system ;

4)判断Ten中的任意一个元素t是否位于表示装配操作的标志图模块中;4) Judging whether any element t in T en is located in the sign diagram module representing the assembly operation;

5)当Ten中的任意一个元素t位于表示装配操作的标志图模块中时,模拟发射元素t;5) When any element t in T en is located in the sign diagram module representing the assembly operation, simulate the emission of element t;

5.1)若当前的资源能够支持发射t对应的可以移动的托肯到达关键库所统一体中的一个子关键库所,并且在表示装配操作的标志图模块的其他所有平行进程中,存在托肯能够到达该关键库所统一体中对应的子关键库所时,Tdf=Tdf+{t};5.1) If the current resource can support the launch of the movable Token corresponding to t to a sub-key place in the key place continuum, and there is a Token When the corresponding sub-key place in the key place continuum can be reached, T df =T df +{t};

5.2)若当前的资源能够支持发射t对应的可以移动的托肯到达关键库所统一体中的一个子关键库所,并且在表示装配操作的标志图模块的其他所有平行进程中,不存在托肯能够到达该关键库所统一体中的子关键库所时,则进行步骤4);5.2) If the current resource can support the launch of the movable Token corresponding to t to reach a sub-key place in the key place continuum, and there is no Token When Ken can reach the subkey place in the key place continuum, then Go to step 4);

5.3)若当前的资源不能支持发射t对应的可以移动的托肯到达关键库所统一体中的一个子关键库所,则进行步骤4);5.3) If the current resource cannot support the launch of the movable Token corresponding to t to reach a sub-key place in the key place continuum, then Go to step 4);

6)当t∈Ten,并且t不位于表示装配操作的标志图模块中时,模拟发射元素t,若当前的资源能够支持发射t对应的可以移动的托肯到达中的一个关键库所,那么Tdf=Tdf+{t},否则,进行步骤4);其中,是系统中标志图模块被一个库所以及它的前置集和后置集整体代替以后的系统结构的关键库所的集合;6) When t∈T en , and t is not located in the sign diagram module representing the assembly operation, simulate the launch of element t, if the current resource can support the launch of the movable Token corresponding to t A key place in , then T df =T df +{t}, otherwise, Carry out step 4); Wherein, It is the collection of key places of the system structure after the sign diagram module in the system is replaced by a place and its pre-set and post-set as a whole;

7)当Ten中所有的变迁都检测完毕后,得到了使得系统无死锁运行的变迁的集合Tdf。输出任意t∈Tdf,自动制造系统发射变迁t,进入到下一个状态,然后再返回步骤1)。7) After all the transitions in T en are detected, the set T df of transitions that make the system run without deadlock is obtained. Output any t∈T df , the automatic manufacturing system emits transition t, enters the next state, and then returns to step 1).

上述步骤1)~7)构成了自动制造系统的活性监督控制器。参见图1,控制器给出控制结果t,被控系统发射t,转到一个新的状态M,这个状态M输入到控制器中,控制器进行分析,进而在给出新的输出结果t,被控系统发射t,进入另一个状态。周而复始。The above steps 1) to 7) constitute the active supervisory controller of the automatic manufacturing system. Referring to Figure 1, the controller gives the control result t, the controlled system emits t, and turns to a new state M, which is input to the controller, and the controller analyzes it, and then gives a new output result t, The controlled system emits t and enters another state. Repeatedly.

整个自动制造系统的关键库所的集合其中,CGM是标志图模块的关键库所统一体的集合;是将系统中标志图模块用一个库所代替以后的系统结构的关键库所的集合。即,整个自动制造系统的关键库所由两部分构成,一部分是标志图模块的关键库所统一体的集合,另一部分是系统中标志图模块被一个库所以及它的前置集和后置集整体替代以后的系统结构的关键库所的集合。所述标志图模块的关键库所统一体为若干个子关键库所所组成的序偶;子关键库所分别分布在各个平行进程中,并且子关键库必须具有相同的类型,即要么全部为使用资源最多的库所,要么全部为使用资源最少的库所;关键库所统一体中子关键库所的个数等于该标志图模块的平行进程的条数。A collection of key warehouses for the entire automated manufacturing system Among them, C GM is the collection of key place continuities of the sign graph module; It is a collection of key places of the system structure after replacing the sign diagram module in the system with a place. That is to say, the key place of the whole automatic manufacturing system is composed of two parts, one part is the collection of key place continuum of the sign diagram module, and the other part is the sign map module in the system is composed of a place and its pre-set and post-set Set the collection of key places of the system structure after the overall replacement. The key storehouse unity of the sign diagram module is a sequence pair composed of several subkey storehouses; the subkey storehouses are respectively distributed in each parallel process, and the subkey storehouses must have the same type, that is, all of them are used The places with the most resources are all the places that use the least resources; the number of sub-key places in the key place continuum is equal to the number of parallel processes of the logogram module.

关键库所也是通过由简到繁,步步递进推导而来,具体过程如下。The key places are also deduced step by step from simple to complex. The specific process is as follows.

定义1给定一个不包含PR环路或者路径,它们的关键库所定义为C={C1,C2,C3},其中:Definition 1 Given a cycle or path that does not contain PR , their key places are defined as C={C 1 ,C 2 ,C 3 }, where:

注:C1所定义的关键库所为类型Ⅰ,表示使用资源最少,一般的,就是不使用任何资源;C2、C3定义的关键库所为类型Ⅱ,表示该环路或路径中使用的资源最多的库所。Note: The key storage places defined by C 1 are of type I, which means that the least resources are used, and generally , no resources are used ; The place with the most resources.

定义1针对一个系统中的一条环路或者路径,给出了关键库所的定义,后边所有的定义都是基于此定义的,因为柔性加工路径是由环路构成的,而标志图模块是由平行路径构成的。Definition 1 gives the definition of key places for a loop or path in a system, and all subsequent definitions are based on this definition, because the flexible processing path is composed of loops, and the sign map module is composed of composed of parallel paths.

定义2对于标志图模块B(ts,te),它的关键库所实际上是关键库所统一体的集合,记为其中,m∈N+,需要满足以下条件:Definition 2 For the sign graph module B(t s ,t e ), its key places are actually a collection of key place continuities, denoted as Among them, m∈N + needs to meet the following conditions:

1.B(ts,te)中平行路径的条数为n, 1. The number of parallel paths in B(t s ,t e ) is n, ;

2. 是一个关键库所统一体, 在关键库所统一体中,是同一种类型,具体为类型Ⅰ或类型Ⅱ。2. is a key place continuum, In the key place continuum, are the same type, specifically type I or type II.

定义3对于S4R结构的网络,它的关键库所定义为其中C1、C2、C3的含义与定义1相同。Definition 3 For the network of S 4 R structure, its key places are defined as The meanings of C 1 , C 2 , and C 3 are the same as those in Definition 1.

注:S4R结构的系统不包含装配操作,是由一些顺序的进程构成,各个进程通过共享资源相互连接从而相互影响,因此它的关键库所不要考虑关键库所统一体,只需要考虑各个进程中的关键库所。其中,标志图模块就是表示装配操作。Note: The system of S 4 R structure does not include assembly operation, it is composed of some sequential processes, and each process is connected to each other through shared resources to affect each other, so its key places do not consider the key place unity, only need to consider each The key repository in the process. Among them, the logo module is to represent the assembly operation.

定义4对于AESM,它的关键库所的集合定义为其中,CMG是标志图模块的关键库所统一体的集合;是用库所p*代替标志图模块以后,AESM对应的S4R*的关键库;用库所p*代替标志图模块以后,AESM为具有S4R*特征的系统,它的关键库所记为 Definition 4 For AESM, the set of its key places is defined as Among them, C MG is the collection of key place continuities of the sign graph module; is the key library of S 4 R * corresponding to AESM after replacing the sign map module with place p * ; after replacing the sign map module with place p * , AESM is a system with S 4 R * characteristics, and its key place recorded as

注:AESM的关键库所要注意区分标志图模块和其他部分,因此要分开来考虑。标志图模块的关键库所就按照定义2来确定,其他部分的关键库所,需要暂时把标志图模块看作是一个库所,按照定义3来确定。Note: The key repository of AESM should pay attention to distinguishing the sign map module from other parts, so it should be considered separately. The key places of the logo map module are determined according to Definition 2, and the key places of other parts need to be temporarily regarded as a place of the logo map module and determined according to Definition 3.

参见图1,原Petri网与控制器构成一个反馈的系统。注意,这里的控制器就是本发明提出了分布式控制方法。控制器先采集原系统的状态,根据原网的状态,通过运行该方法,得到确保无死锁性的可发射的变迁Tdf,最后为了确保系统的许可性,随机输出指令,即输出Tdf中一个可发射的变迁t,进而系统收到指令,发射t,进入下一个状态,控制器重新采集当前状态进行预测仿真。这一过程可由图1表示,M表示原Petri网输出的状态。Referring to Fig. 1, the original Petri net and the controller constitute a feedback system. Note that the controller here is the distributed control method proposed by the present invention. The controller first collects the state of the original system, and according to the state of the original network, by running this method, it obtains the transition T df that can be transmitted without deadlock, and finally in order to ensure the permissibility of the system, it randomly outputs instructions, that is, outputs T df A transition t that can be transmitted, and then the system receives an instruction, transmits t, and enters the next state, and the controller re-acquires the current state for predictive simulation. This process can be represented by Figure 1, and M represents the output state of the original Petri net.

由于无需考虑全局信息,该本发明的控制方法可以动态并且实时地产生事件发生序列。不难看出,该序列不唯一,每个序列能够独立地引导整个系统从初始状态前进至目标状态。在极端的情况下,当除自身以外的进程都处于初始状态时,任意进程中的特定托肯必定能够到达目标位置;然后,所有的资源都被释放,该进程中的其他托肯重复上述步骤,直到全部到达目标位置。Since there is no need to consider global information, the control method of the present invention can generate event occurrence sequences dynamically and in real time. It is not difficult to see that the sequence is not unique, and each sequence can independently guide the entire system from the initial state to the target state. In extreme cases, when all processes except itself are in the initial state, a specific token in any process must be able to reach the target location; then, all resources are released, and the above steps are repeated for other tokens in the process , until all reach the target position.

下面通过一个具体实施例进行详细说明。A detailed description will be given below through a specific embodiment.

首先,本发明提出一种新的Petri网结构,即Augmented Extended StateMachine,中文翻译为增强型扩展的状态机,简称AESM。它将装配操作嵌入到柔性加工路径中,代表了更为复杂的加工工艺流程,意味着柔性加工路径中,还可以存在分流操作和装配操作,以及它们之间的平行加工进程。装配操作用标志图模块来表示。AESM由下边定义一步一步递进给出。First of all, the present invention proposes a new Petri net structure, that is, Augmented Extended State Machine, which is translated into Chinese as Enhanced Extended State Machine, abbreviated as AESM. It embeds the assembly operation into the flexible processing path, which represents a more complex processing process, which means that in the flexible processing path, there can also be shunt operations and assembly operations, as well as parallel processing processes between them. Assembly operations are represented by sign diagram modules. AESM is given step by step by the definition below.

定义5一个简单的状态机,记为SSM,是一个强连接的状态机,表示为N=(P,T,F),其中,P={p0}∪PA,p0是闲置库所,p∈PA,PA是活动库所集合,N中的每一个环路均包含p0Definition 5 A simple state machine, denoted as SSM, is a strongly connected state machine, expressed as N=(P,T,F), where P={p 0 }∪PA, p 0 is an idle place , p∈PA , PA is the set of active places, and each cycle in N contains p 0 .

定义6一个标志图模块B(Ts,te)可以由满足一下要求的Petri网来表示:1)2)3)ts与te之间的子网络是一个标志图。参见图3,图3中是3个标志图模块说明图,其中,图3(a)和图3(b)都是标志图模块,而图3(c)不是标志图模块,因为图3(c)中含有内部的环路,标志图模块不能含有内部的环路。Definition 6 A sign graph module B(T s ,t e ) can be represented by a Petri net that satisfies the following requirements: 1) 2) 3) The sub-network between t s and t e is a sign graph. Referring to Fig. 3, in Fig. 3, there are 3 explanatory diagrams of sign map modules, wherein, Fig. 3 (a) and Fig. 3 (b) are all sign map modules, and Fig. 3 (c) is not a sign map module, because Fig. 3 ( c) contains internal loops, and the logo module cannot contain internal loops.

定义7在SSM中,用标志图模块逐步地替代其中的活动库所以及活动库所前置集和后置集,就可以得到扩展的状态机,记为ESM。Definition 7 In SSM, the extended state machine can be obtained by gradually replacing the active places and the pre-sets and post-sets of the active places with the sign diagram module, which is denoted as ESM.

图4(a)是一个简单的状态机,用图3(a)中的标志图模块替代图4(a)中的{t3,p5,t5},其中,标志图模块中的t11、t15分别替代图4(a)中的t3、t5。由此,一个ESM就得到了。Figure 4(a) is a simple state machine, where {t 3 ,p 5 ,t 5 } in Figure 4(a) is replaced by the sign diagram module in Figure 3(a), where t in the sign diagram module 11 and t 15 respectively replace t 3 and t 5 in Fig. 4(a). From this, an ESM is obtained.

定义8一个增强型扩展的状态机N=(P,T,F,W)记为AESM,它要满足以下条件:Definition 8 An enhanced extended state machine N=(P, T, F, W) is denoted as AESM, and it must meet the following conditions:

2.对于每一个i∈NK对于任意的i,j∈NK,i≠j, 2. For each i∈N K , For any i,j∈N K , i≠j,

3.对于每一个i∈NK,(补充字母含义)是一个ESM;3. For each i∈N K , (supplement the letter meaning) is an ESM;

4.对于每一个r∈PR,存在唯一的最小的P-半流Xr∈N|P|,使得{r}=||Xr||∩PR且Xr(r)=1。4. For each r∈P R , there exists a unique minimal P-semi-flow X r ∈ N |P| such that {r}=||X r ||∩P R , And X r (r)=1.

参见图5,图5是一个AESM的实例结构图。其中,有三个进程,分别是J1={p1,p2,p3,p4,p6,p7,p9},J2={p1,p2,p5,p8,p9},J3={p10,p11,p12,p13,p14}。其中的{p3,p4,p6,p7}是一个标志图模块,t2,t7分别代表了分流操作和装配操作。J1中包含一个标志图模块,因此它的关键库所是一个统一体,即<p6,p7>。J2和J3的关键库所分别是p8和p13。σ1=<t1,t10,t3,t11,t6,t12,t8,t13,t9,t14>,σ2=<t1,t10,t2,t11,t4,t5,t12,t7,t13,t9,t14>,σ1、σ2是两个发射序列,可以保证系统无死锁地运行。Referring to Fig. 5, Fig. 5 is an example structure diagram of an AESM. Among them, there are three processes, J 1 ={p 1 ,p 2 ,p 3 ,p 4 ,p 6 ,p 7 ,p 9 }, J 2 ={p 1 ,p 2 ,p 5 ,p 8 , p 9 }, J 3 = {p 10 , p 11 , p 12 , p 13 , p 14 }. Among them, {p 3 ,p 4 ,p 6 ,p 7 } is a sign map module, and t 2 and t 7 represent the shunt operation and assembly operation respectively. J 1 contains a sign map module, so its key place is a unity, namely <p 6 ,p 7 >. The key places of J 2 and J 3 are p 8 and p 13 , respectively. σ 1 =<t 1 ,t 10 ,t 3 ,t 11 ,t 6 ,t 12 ,t 8 ,t 13 ,t 9 ,t 14 >,σ 2 =<t 1 ,t 10 ,t 2 ,t 11 , t 4 , t 5 , t 12 , t 7 , t 13 , t 9 , t 14 >, σ 1 , σ 2 are two emission sequences, which can ensure the system to run without deadlock.

Claims (3)

1. A distributed control method for an automated manufacturing system, comprising the steps of:
1) is initialized toWherein, TenIs a collection of enabled transitions, TdfIs a set of transitions that cause the automated manufacturing system to run without deadlocks;
2) acquiring the current state M of the automatic manufacturing system;
3) according to the current stateM, checking whether each transition in the automatic manufacturing system is enabled, if tiIs enabled, then Ten=Ten+{tiWhere t isiIs any one transition in an automated manufacturing system;
4) judgment of TenWhether any one element t in (a) is located in a flag map module representing an assembly operation;
5) when T isenSimulating a transmitting element t when any one element t in the map module representing the assembly operation;
6) when T ∈ TenAnd when t is not located in the signpost module representing the assembly operation, simulating the transmission transition t if the current resource can support the mobile Token arrival corresponding to the transmission transition tA key library of (1), then Tdf=Tdf+ { t }, otherwise,carrying out step 4); wherein,the system is a set of key libraries of the system, wherein the marker graph module in the system is replaced by a library and the whole of a front set and a rear set of the library;
7) when T isenAfter all transitions are detected, obtaining a set T of transitions which enables the system to run without deadlockdfAnd outputting any T e to TdfThe automatic manufacturing system transmits t, enters the next state and then returns to the step 1);
the step 5) specifically comprises the following steps:
5.1) if the current resource can support the transmission of a mobile token corresponding to T to reach one sub-key library location in the key library universe, and there is a token that can reach the corresponding sub-key library location in the key library universe in all other parallel processes of the marker map module representing the assembly operation, respectively, Tdf=Tdf+{t};
5.2) if the current resource can support the transmission of the mobile token corresponding to t to reach one sub-key library in the key library unified body, and in all other parallel processes of the mark map module representing the assembly operation, no token can reach the sub-key library in the key library unified body, then the method comprises the steps ofCarrying out step 4);
5.3) if the current resource can not support the mobile Token corresponding to the transmission t to reach one sub-key library in the key library unified body, thenCarrying out step 4);
the system comprises a key library, a mark graph module, a front-end set and a back-end set, wherein the key library consists of two parts, one part is a set of key libraries of the mark graph module which are integrated, and the other part is a set of key libraries of the system structure after the mark graph module is integrally replaced by one library and the front-end set and the back-end set of the mark graph module in the system; the key libraries of the marker graph module are integrated into a sequence pair consisting of a plurality of sub-key libraries.
2. The distributed control method for an automated manufacturing system according to claim 1, wherein the set C of key library unifications of the signature modulesMGSet of key libraries of the system after the whole replacement of the signature graph module in the system by one library and its pre-set and post-setIs the set C of key libraries for the entire automated manufacturing system.
3. The distributed control method of an automatic manufacturing system according to claim 1, wherein the key libraries of the signature module are unified into a sequential couple consisting of a plurality of sub-key libraries; the sub-key libraries are respectively distributed in each parallel process and have the same type; the number of the sub-key libraries in the key library integration is equal to the number of the parallel processes of the marker map module.
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CN109739196B (en) * 2019-01-11 2021-07-13 西安电子科技大学 Deadlock-free control method for automatic manufacturing system with unobservable and uncontrollable events
CN111983978A (en) * 2019-05-22 2020-11-24 西安电子科技大学 Robustness control method for Petri nets with absorbing strategy and distributed strategy
CN110580042A (en) * 2019-08-12 2019-12-17 西安电子科技大学 A Hybrid Distributed Motion Control Method for Multi-Robot System
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101206687A (en) * 2007-12-18 2008-06-25 同济大学 A Method of Improving the Dynamic Security of Distributed Electromechanical Equipment
CN104360947A (en) * 2014-11-18 2015-02-18 合肥康捷信息科技有限公司 Multi-process deadlock detection method based on petri network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101206687A (en) * 2007-12-18 2008-06-25 同济大学 A Method of Improving the Dynamic Security of Distributed Electromechanical Equipment
CN104360947A (en) * 2014-11-18 2015-02-18 合肥康捷信息科技有限公司 Multi-process deadlock detection method based on petri network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Distributed Supervisor Synthesis for Automated Manufacturing Systems Using Petri Nets;HeSuan Hu etc.;《2014 IEEE International Conference on Robotics & Automation》;20140607;第4423-4429页 *
Supervisor Design to Enforce Production Ratio and Absence of Deadlock in Automated Manufacturing Systems;Hesuan Hu etc.;《IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS》;20110331;第201-212页 *

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