Poster automationsdagar 2010
1
Manipulated Variable (Actuator) Measured Variable (Sensor) Reference Analysis ProMoVis: A Tool for Process Modeling and Visualization. Build your process Software Tool Developed in the Research Project MeSTA : Methods for Structural Analysis in Pulping The MeSTA Project is Part of SCOPE: a Long-Term Collaboration in the Pulp and Paper Industries. Contact: Wolfgang Birk ([email protected]) Miguel Castaño ([email protected]) Background: Industry processes consist of a large number of variables. Control loops have to be closed between sensors and actuators to achieve a desired performance. Interactions between control loops result in oscillations and therefore in loss of performance. Signal flow graphs as a tool: Build your process: Create a description of your process based on process knowledge. Process information is stored in different layers. Analyze your process: We propose signal flow graphs to express interactions in terms of energy propagation . The user gets an understanding of the process, being able to identify which dynamic connections are important for improving the process performance. Potential of the Tool: Robust methods for optimal control structure design. Visualization of process interactions and control structures helps to obtain and communicate process knowledge. Storing and visualizing information about complex control structures which is usually hidden in a control system. Process Components Controllers Process Models Analysis of process interactions. Visualization of Control Structure. Visualization and Analysis of a Stock Preparation Plant Funded by:
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Transcript of Poster automationsdagar 2010
Manipulated Variable (Actuator)
Measured Variable (Sensor)
Reference
Analysis
ProMoVis: A Tool for Process Modeling and Visualization.
Build your process
Software Tool Developed in the Research Project MeSTA : Methods for Structural Analysis in Pulping
The MeSTA Project is Part of SCOPE: a Long-Term Collaboration in the Pulp and Paper Industries.Contact: Wolfgang Birk ([email protected]) Miguel Castaño ([email protected])
Background: Industry processes consist of a large number of variables. Control loops have to be closed between sensors and actuators to achieve a desired performance. Interactions between control loops result in oscillations and therefore in loss of performance.
Signal flow graphs as a tool:Build your process: Create a description of your process based on process knowledge. Process information is stored in different layers.Analyze your process: We propose signal flow graphs to express interactions in terms of energy propagation . The user gets an understanding of the process, being able to identify which dynamic connections are important for improving the process performance.
Potential of the Tool: Robust methods for optimal control structure design. Visualization of process interactions and control structures helps to obtain and communicate process knowledge. Storing and visualizing information about complex control structures which is usually hidden in a control system.
Proc
ess C
ompo
nent
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Cont
rolle
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Proc
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odel
s
Analysis of process interactions. Visualization of Control Structure.
Visualization and Analysis of a
Stock Preparation Plant
Funded by:
