Modeling and Control of Discrete Manufacturing Systems Using Graphical Concurrent Modeling Language (GCML)

Author(s):  
D. Ben-Arieh
2012 ◽  
pp. 393-408
Author(s):  
Gen’ichi Yasuda

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.


Author(s):  
Gen’ichi Yasuda

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.


2003 ◽  
Vol 03 (02) ◽  
pp. 345-363 ◽  
Author(s):  
ALI ARYA ◽  
BABAK HAMIDZADEH

The problem of Personalized Face Animation is addressed in this paper by proposing the ShowFace streaming structure. This structure is based on most widely accepted industry standards in multimedia presentation like MPEG-4 and SMIL, extending them by defining image transformations required for certain facial movements, and also by providing a higher level Face Modeling Language (FML) for modeling and control purposes. It defines a comprehensive framework for face animation consisting of components for parsing the input script, generating and splitting the audio and video "behaviors", creating the required images and sounds, and eventually displaying or writing the data to files. This component-based design and scripted behavior make the framework suitable for many purposes including web-based applications. Various examples illustrate the efficiency of our method.


2020 ◽  
pp. 91-98
Author(s):  
URC Mazzoni ◽  
OL Asato ◽  
FY Nakamoto

The challenges imposed on Manufacturing Systems (MS), given the demands of a dynamic and competitive market, instigates the development of new technologies to promote the reduction of production costs, increase productivity and ensure the level of quality established by the company. Such technologies applied in MS create demands for new paradigms for the design of control systems, mainly about the integration of automated systems, such as multifunction machines, flexible machining centers, intelligent robotic conveyor systems, and the integration of information systems, production planning and management, and manufacturing execution. The main purpose of control system modeling is to represent a real system using conceptual models to visualize, predict and simulate the desired dynamic behavior of the system. This article presents some modeling tools for control systems capable of adequately representing a manufacturing system with all its requirements and intrinsic characteristics, supported by formal methods for structured modeling of the control system.


Author(s):  
A. Abhishek ◽  
Manish Kumar ◽  
Devendra P. Garg

This paper presents comprehensive and unified strategies to model, analyze, and control flexible manufacturing systems (FMSs) in an uncertain and dynamic environment using Petri Net (PN) based modeling. The proposed methodology enables PN models to accept and assimilate online data at execution time. A measurement system consisting of distributed sensory sources suitable for manufacturing processes is designed and an interface is developed of that system with the modeling software (SHARPE) and MATLAB's Simulink to enable realtime data acquisition and processing. The proposed strategies enable online parameter estimation to impart adaptive and intelligent learning capabilities to PN models.


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