Inter-Communicative Decentralized Multi-Scale Control (ICD-MSC) Scheme: A New Approach to Overcome MIMO Process Interactions
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Jobrun Nandong
und
Zhuquan Zang
Abstract
Decentralized PID control has been extensively used in process industry due to its functional simplicity. But designing an effective decentralized PID control system is very challenging because of process interactions and dead times, which often impose limitations on control performance. In practice, to alleviate the detrimental effect of process interactions on control performance, decoupling controllers are often incorporated into a decentralized control scheme. In many cases, these conventional decoupling controllers are not physically realizable or too complex for practical implementation. In this paper, we propose an alternative scheme to overcome the performance limitation imposed by process interactions. This new control scheme is extended from the SISO multi-scale control scheme previously developed for nonminimum-phase processes. The salient feature of the new control scheme lies in its communicative structure enabling collaborative communication among all the sub-controllers in the system. This communicative structure serves the purpose of reducing the detrimental effect of process interactions leading to improved control performance and performance robustness. Extensive numerical study shows that the new control scheme is able to outperform some existing decentralized control schemes augmented with traditional decoupling controllers.
Acknowledgment
This work is partially supported by Curtin Sarawak Research Cluster Fund under the auspices of Intelligent Systems, Design and Control (ISDC) Research Area at Curtin University, Malaysia.
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©2014 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks
- Temperature Peak Analysis and Its Effect on Absorption Column for CO2 Capture Process at Different Operating Conditions
- Valorization of Glycerol into Polyhydroxyalkanoates by Sludge Isolated Bacillus sp. RER002: Experimental and Modeling Studies
- Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal
- Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis
- A Mathematical Modeling and Experimental Study on Adsorptive Desulfurization of Model Gasoline Using Synthesized Ni–Y and Ce–Y Zeolites
- Inter-Communicative Decentralized Multi-Scale Control (ICD-MSC) Scheme: A New Approach to Overcome MIMO Process Interactions
- Technical Note
- Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks
- Temperature Peak Analysis and Its Effect on Absorption Column for CO2 Capture Process at Different Operating Conditions
- Valorization of Glycerol into Polyhydroxyalkanoates by Sludge Isolated Bacillus sp. RER002: Experimental and Modeling Studies
- Parameter Estimation of Kinetic Model Equations for Chemical Leaching of Coal
- Few-Step Kinetic Model of Gaseous Autocatalytic Ethane Pyrolysis and Its Evaluation by Means of Uncertainty and Sensitivity Analysis
- A Mathematical Modeling and Experimental Study on Adsorptive Desulfurization of Model Gasoline Using Synthesized Ni–Y and Ce–Y Zeolites
- Inter-Communicative Decentralized Multi-Scale Control (ICD-MSC) Scheme: A New Approach to Overcome MIMO Process Interactions
- Technical Note
- Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN
