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Decoupling Multivariable Processes using Partial Least Squares for Decentralized Control
| Content Provider | CiteSeerX |
|---|---|
| Author | Kundu, Madhusree Damarla, Seshu Kumar |
| Abstract | Multivariable control systems suffer very much from unwanted interactions among control loops. Change in setpoint of one variable may cause other variables to deviate from their respective steady states because of couplings between unpaired variables. Due to unreliability problems, conventional decouplers are not appropriate for higher order processes. This paper proposes Partial Least Squares (PLS), multivariate statistical process control technique (MVSPC), based decoupling strategy to attain satisfactory performance and consistent product quality in spite of disturbances. The proposed scheme was applied on conventional and heat integrated distillation processes. The results have shown the reliability and robustness of Partial Least Squares based decouplers over conventional decouplers. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multivariable Process Order Process Control Loop Unpaired Variable Unwanted Interaction Decentralized Control Consistent Product Quality Conventional Decouplers Unreliability Problem Multivariable Control System Satisfactory Performance Partial Least Square Multivariate Statistical Process Control Technique Proposed Scheme Respective Steady State |
| Content Type | Text |
| Resource Type | Article |
