可重构制造系统的合弄结构研究

在激烈的市场竞争和产品品种、产品数量陡变的环境中,可重构制造系统能够快速重构制造系统环境。本文采用合弄结构,对制造系统的基本结构框架进行了分析,建立了基于合弄结构的可重构制造系统的结构框架。     

基于代理的合弄控制系统的设计与开发

简要介绍了合弄制造系统及其框架结构,并对合弄制造系统的模块进行分析与设计,最后基于一个小型柔性制造系统,利用上述模型开发出合弄控制系统软件。     

基于网络的智能制造系统控制机制

在分析当前制造系统的基础上,提出了基于网络的智能制造系统的分布式控制结构。并对结构中所包含的3层：交互层、任务管理层、执行层的功能结构以及相互之间的协调关系进行了阐述与说明。最后对该控制结构进行了模拟仿真,实现了制造系统的高度柔性和快速响应性。     

现代制造系统控制研究发展

制造系统控制是制造系统研究的重点之一,对提高制造系统自动化和智能化水平有重要作用。综述了控制结构、控制模型和调度方法的研究内容、现状和发展趋势,指出了协调分布自组织控制结构、基于多Agent的Petri网控制决策模型和基于多Agent的软计算调度算法是今后制造系统控制研究的重点。     

面向Agent的智能制造系统控制结构研究

结合分布式人工智能中的Ａｇｅｎｔ 技术和现代制造系统的特点,研究了面向Ａｇｅｎｔ 的智能制造系统控制结构。介绍了Ａｇｅｎｔ 和多Ａｇｅｎｔ 系统的概念,同时将市场机制引入多Ａｇｅｎｔ 协作模型,最后讨论了Ａｇｅｎｔ 的通讯机制     

可重构制造系统控制结构和实现技术基础研究

在分析传统制造方式不足的基础上，本文引入了一种新的制造系统－－可重构制造系统的概念。并结合当前可重构制造研究和应用情况，给出了可重构制造的内涵，探讨了其关键技术和主要研究内容。     

现代制造系统控制研究发展

制造系统控制是制造系统研究的重点之一,对提高制造系统自动化和智能化水平有重要作用.综述了控制结构、控制模型和调度方法的研究内容、现状和发展趋势,指出了协调分布自组织控制结构、基于多Agent的Petri网控制决策模型和基于多Agent的软计算调度算法是今后制造系统控制研究的重点.     

基于客户／服务器结构的CIMS协同控制结构研究

对ＣＩＭＳ的基于客户／服务器的协同控制结构进行研究分析，特别是对制造系统部分各设备的分布式自组织协同控制及其实现进行深入的探讨。各设备在协同控制器的作用下，通过在线实时竞争协商，灵活机动地完成整个生产任务。     

融合MAS的合弄制造—一种先进制造模式的探讨

在深入分析代理,多代理系统及合弄体的基础上,提出了一种新的先进制造模式－融合了ＭＡＳ的合弄制造模式,Ｈｏｌｏｎ是合弄制造的基本单元,它能够对自身内部的人员,设备,物料进行有效的管理,而ａｇｅｎｔ可以利用ＭＡＳ的协作理论进行相互之间的合作,因此,融合了ＭＡＳ的合弄的制造模式是一种相当灵敏,广泛适用的先进制造模式。     

Holonic制造系统研究

holonic制造系统（HMS）是IMS计划中提出的一种新一代制造系统，其特点是具有分布式控制结构以及自治和协作的构造模块-holon。介绍了HMS的基本概念，并将HMS与CIM进行了比较，论述了HMS的研究内容和最新进展，指出尚需进一步解决的问题。     

一种基于层次结构的制造单元控制系统

为了使制造单元满足敏捷制造的需求,适应快速变化的制造环境,提出一种基于层次结构的制造单元控制系统,它由加工任务代理层、制造实体代理层和调度核心层构成。这种单元控制系统利用分层结构将调度核心层同同具体的加工任务与单元配置分离,并采用基于知识的动态调度方法,保证了制造单元具有敏捷特性。     

基于holon制造原理的低成本自动化制造技术

结合我国制造企业的现状和特点,应用ｈｏｌｏｎ制造原理,提出一种适合中国国情的先进制造技术－－低成本自动化制造技术,详细介绍低成来自动化制造设备技术,单元技术和系统结构及管理技术。     

生物型制造系统的分布式控制机制

对比生物体的控制方式,提出生物型制造系统中分布式控制的基本框架,并对这种分布式控制机制从组织结构、控制方式以及对产品模型的需求等方面进行了分析。     

Multiple-Objective Scheduling for the Hierarchical Control of Flexible Manufacturing Systems

This paper presents a hierarchical approach to scheduling flexible manufacturing systems (FMSs) that pursues multiple performance objectives and considers the process flexibility of incorporating alternative process plans and resources for the required operations. The scheduling problem is solved at two levels: the shop level and the manufacturing system level. The shop level controller employs a combined priority index developed in this research to rank shop production orders in meeting multiple scheduling objectives. To overcome dimensional complexity and keep a low level of work-in-process inventory, the shop controller first selects up to three production orders with the highest ranking as candidates and generates all possible release sequences for them, with or without multitasking. These sequences are conveyed to the manufacturing system controller, who then performs detailed scheduling of the machines in the FMS using a fixed priority heuristic for routing parts of multiple types while considering alternative process plans and resources for the operations. The FMS controller provides feedback to the shop controller with a set of suggested detailed schedules and projected order completion times. On receiving these results, the shop controller further evaluates each candidate schedule using a multiple-objective function and selects the best schedule for execution. This allows multiple performance objectives of an FMS to be achieved by the integrated hierarchical scheduling approach.     

Design Guidelines for Deadlock-Handling Strategies in Flexible Manufacturing Systems

Deadlock-free operation of flexible manufacturing systems (FMSs) is an important goal of manufacturing systems control research. In this work, we develop the criteria that real-time FMS deadlock-handling strategies must satisfy. These criteria are based on a digraph representation of the FMS state space. Control policies for deadlock-free operation are characterized as partitioning cuts on this digraph. We call these structural control policies (SCPs) because, to avoid deadlock, they must guarantee certain structural properties of the subdigraph containing the empty state; namely, that it is strongly connected. A policy providing this guarantee is referred to as correct. Furthermore, an SCP must be configurable and scalable; that is, its correctness must not depend on configuration-specific system characteristics and it must remain computationally tractable as the FMS grows in size. Finally, an SCP must be efficient; that is, it must not overly constrain FMS operation. We formally develop and define these criteria, formulate guidelines for developing policies satisfying these criteria, and then provide an example SCP development using these guidelines. Finally, we present an SCP that guarantees deadlock-free buffer space allocation for FMSs with no route restrictions.     

Supervisory Control of Functionally-Expandable Manufacturing Systems

Supervisory controllers have traditionally coordinated the various resources of manufacturing systems, such as flexible manufacturing workcells, for the production of a priori set families of part types. This paper expands on this capability by allowing the control of the production of new part types side by side with previously defined and planned for nominal part types. The proposed basic workcell supervisory-control approach advocates the use of a pair of non-communicating independent supervisors, synthesized individually but working in concert, to achieve the production of existing and new part types: nominal and complementary supervisors, respectively. The nominal supervisor is responsible for controlling the behavior of the nominal system, producing the set of a priori planned-for part types, whereas the complementary supervisor controls the flow of the a priori unplanned-for new part types.     

制造领域多智能体系统的技术研究

首先讨论了多智能体、计算机支持在协同共和和公共对象请求代理体系,综述了全能制造系统、供应链管理、虚拟企业、机器人、工艺规划、调度和装配等多智能体技术。在综合大量文献和已有研究的基础上,讨人了这些方向的主要研究方法、技术和现状,并指出基于多智能体的制造系统中的方法学研究、学习机制、集成化研究、合作机制和冲突消解等拟进一步研究的领域。     

Planning and Sequencing Heuristics for Feature-Based Control of Holonic Machining Equipment

The intelligent manufacturing system program was proposed by Japan in 1989. Five participating regions—Australia, Canada, the European Community, Japan, and the United States—currently are involved in developing 21st century manufacturing technology through an investment of US $1.2 billion over 10 years. Korea joined the program and will start work on one of the six ongoing projects, holonic manufacturing systems (HMSs). The objective of the paper is to develop the control architecture of the holonic machining unit (HMU) for construction of the HMSs and to present some planning and sequencing heuristics for feature-based control of the HMU. Further, the paper provides the HMU's functionality using the IDEF0 function modeling method. The basic operation of the decision maker among the HMU's functions is to determine an efficient feature sequence in real time from the nonlinear feature graph used to represent a process plan. To this end, two methodologies are applied sequentially to managing a nonlinear process plan: removal of the OR nodes and then grouping and sequencing the features in the feature graph. Markov chain theory is used to compute the path preference indicator for removing the OR nodes, that is, for selecting the best path among those surrounded by OR nodes. The resulting graph is the AND graph, from which the feature type nodes are formed into sequenced groups. The CNC codes associated with the features in each group are combined and downloaded to the CNC machine. The development of the methodologies can help manufacturers efficiently cope with unexpected failures encountered during computer-automated machining.     

P-FMS小型柔性制造系统的研制与开发

本文简要介绍了一种用于教学的小型柔性制造系统 ,简述了控制系统的组成、硬件设备以及软件环境。