Abstract
OPC, originally the Object Linking and Embedding (OLE) for Process Control, brings a broad communication opportunity between different kinds of control systems. This paper investigates the use of OPC technology for the study of distributed control systems (DCS) as a cost effective and flexible research tool for the development and testing of advanced process control (APC) techniques in university research centers. Co-Simulation environment based on Matlab, LabVIEW and TCP/IP network is presented here. Several implementation issues and OPC based client/server control application have been addressed for TCP/IP network. A nonlinear boiler model is simulated as OPC server and OPC client is used for closed loop model identification, and to design a Model Predictive Controller. The MPC is able to control the NOx emissions in addition to drum water level and steam pressure.
| Original language | English |
|---|---|
| Pages (from-to) | 155-167 |
| Number of pages | 13 |
| Journal | ISA Transactions |
| Volume | 55 |
| DOIs | |
| State | Published - 1 Mar 2015 |
Bibliographical note
Funding Information:The authors would like to thank the deanship for scientific research (DSR) at KFUPM for financial support through research group project RG-1316-1 and partial support from NSTP .
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Distributed control systems
- LabVIEW
- MATLAB
- OPC (OLE for Process Control/Open Process Control)
- OPC client
- OPC server
ASJC Scopus subject areas
- Control and Systems Engineering
- Instrumentation
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
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