• ICROS
• /
• v.1 no.3
• /
• pp.92-100
• /
• 1995

본 연구에서는 페트리 네트를 사용하여 모델링된 이산 사건 시스템의 제어시 발생하는 충돌 현상을 해결하기 위하여 퍼지 개념을 사용하였다. 이를 통하여 페트리 네트로 시스템을 제어할 경우 발생하는, 큰 문제점인 외부 시스템과의 데이터 입출력 설정의 어려움을 해결하는 방법을 보였다. 또한 제시된 규칙 행렬의 단순성으로부터 쉽게 충돌 현상하의 우선 순위를 변화시킬 수 있다. 시스템을 제어하는 전문가의 지식이 모호하여 단순히 상수값으로 우선순위를 표현할 수 없는 경우에는 퍼지개념을 이용하여 해결하였다. 이러한 방법들은 소규모의 모터 자동 조립 시스템을 제어하는데 부품의 수량, 작업의 대기 상태를 퍼지화하여 규칙행렬을 만들어 제어신호를 발생시켰다. FMS, CIM을 제어할 때 발생하는 Scheduling 문제도 본 논문의 방법을 사용하면 해결할 수 있다고 본다.

• Journal of Korean Society for Quality Management
• /
• v.16 no.1
• /
• pp.8-14
• /
• 1988

Because of demand pattern variability and Product Liability pursuance for products, it is necessary to convert from Product Liability Defence to Product Liability Prevention. For aggravation of company environment, automation, mechanization and FMS are required, to reduce quality cost in this situation, we present the following two alternatives. (1) We solidify the PL policy by process improvement. (2) We set up sensor equipment for defective detection in its early stage.

• 전기의세계
• /
• v.43 no.3
• /
• pp.10-17
• /
• 1994

패트리네트는 시스템의 관계를 시작적으로 보여주어 시스템의 모델링을 쉽게 만든다. 시스템의 각 부분에 관한 정보를 가지고 전체와 부분에 대하여 하향식(top-down)과 상향식(bottom-up) 설계를 할 수 있게 해준다. 패트리네트는 그래프 표현이므로 FMS(flexible manufacturing systems)등과 같은 실시간 제어(real-time control)의 구현에 사용될 수 있으며 토큰 정보로부터 시스템의 각 부분의 상태를 실시간 감시(monitoring)할 수 있다. 패트리네트는 PLC(programmable logic controller)와 같이 여러 요소시스템(subsystem)을 순서대로 동작시키고 조정한다. 시스테메 대한 페트리네트 모델로부터 시뮬레이션(simulation)을 할 수 있고, 이로부터 성능 평가를 할 수 있다.

• Proceedings of the KIEE Conference
• /
• 2002.07d
• /
• pp.2659-2661
• /
• 2002

The development of guided missile requires complex guidance schemes and hardware units because of high maneuver, delicate and variable missions. In this point of view, simulation systems and facilities which test missile hardwares and softwares are needed. This paper introduces the hardware-in-the loop simulation system and facilities which include the real-time computation systems and 3 Axis FMS(Flight Motion Simulator).

• 제어로봇시스템학회:학술대회논문집
• /
• 1990.10a
• /
• pp.514-518
• /
• 1990

This paper describes an experimental Knowledge-Based Control System, named KBCS, for manufacturing and assembly. The KBCS of five parts and function : data-base, knowledge acquisition, optimization, and graphic monitoring. The KBCS is utilized for a FMS which is of five machine centers and automatic assembly lines. Each machine can perform almost all manufacturing functions which some difference in efficiency. Buffers store temporarily the incoming components and the outing components. Parts arrive at assembly lines after many steps of manufacturing, and the transfer path and time are determined by procedural knowledge of control systems. Nine different incoming components are set up. The total control system is expected to perform four algorithms, timing algorithm ,sequencing algorithm, penalty algorithm, and cart algorithm. The construction of controller require basic components of manufacturing systems in which knowledges are formulated on the base of the results and the repeated simulation of KBCS with graphic monitoring system. Simulation results by KBCS are compared with those by the other rules of manufacturing.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.24 no.2
• /
• pp.1-15
• /
• 1999

This research involves the development and evaluation of a work flow control model for a type of flexible manufacturing system(FMS) called a flexible flow line(FFL). The control model can be considered as a kind of hybrid intelligent model in that it utilizes both computer simulation and neural network technique. Training data sets were obtained using computer simulation of typical FFL states. And these data sets were used to train the neural network model. The model can easily incorporate particular aspects of a specific FFL such as limited buffer capacity and dispatching rules used. It also dynamically adapts to system uncertainty caused by such factors as machine breakdowns. Performance of the control model is shown to be superior to the random releasing method and the Minimal Part Set(MPS) heuristic in terms of machine utilization and work-in-process inventory level.

• Journal of Institute of Control, Robotics and Systems
• /
• v.5 no.5
• /
• pp.593-599
• /
• 1999

A mobile robot in FMS environment should be able to nevigate itself. Therefore, path planning is necessary for the mobile robot to perform its tasks without being lost. Path planning using a network model gives oprimal paths to every pair of nodes but building this model demands accurate information of environments. In this paper, a method to build a network model using sonar sensors is presented. The main idea is to build a quad tree model by using sonar sensors and convert the model to a network model for path planning. The new method has been implemented on a mobile robot. Experimental results show that the mobile robot constructs an accurate network model using inaccurate sonar data.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1993.10a
• /
• pp.411-416
• /
• 1993

In order to achieve computer-oriented control and automation of manufacturing processec, a distributed NC (DNC_) system was developed for FMS under the Windows environment. The DNC system consists of conventional DNC, PMC interface and tool management modules. Real-time system conditon monitoring and control fuctions required for machine tools and machining processes were accomplished by developing a PMC interface module called MMC board. Tool condition monitoring and management was performed by the developed tool management module composed of a tool setting probe and softwares. Performance of the DNC system was confirmed on the horizontal and the vertical type machining center equipped with FANUC OMC for the large amount of experiments.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
• /
• 2001.10a
• /
• pp.8-13
• /
• 2001

In the turning process, the feed is usually selected by a machining operator considering workpiece, cutting tool and depth of cut. Even if this selection can avoid power saturation or tool breakage, it is usually conservative compared to the capacity of the machine tools and can reduce the productivity significantly. This paper proposes a selection method of the feed and the reference cutting force based on MRR(material removal rate), maximum spindle power and specific energy. In order to estimate and control cutting force accurately in transient and steady state, this study utilizes a synthesized cutting force estimation method and a Fuzzy controller. The experimental results present that these systems can be useful for the FMS(flexible manufacturing system) and unmanned automation system.

• Journal of Institute of Control, Robotics and Systems
• /
• v.8 no.8
• /
• pp.706-712
• /
• 2002

In general, a deadlock in flexible manufacturing systems (FMSs) is caused by a resource limitation and the diversity of routings. However, the deadlock of industrial controllers such as programmable logic controllers (PLCs) can occur from different causes compared with those in general FMSs. The deadlock of PLCs is usually caused by an error signal between PLCs and manufacturing systems. In this paper, we propose a deadlock detection and recovery (DDR) algorithm to resolve the deadlock problem of PLCs at design stage. This paper employs the MAPN (modified automation Petri net), MTPL (modified token passing logic), and ECC (efficient code conversion) algorithm to model manufacturing systems and to convert a Petri net model into a desired LD (ladder diagram). Finally, an example of manufacturing systems is provided to illustrate the proposed DDR algorithm.