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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1974/5254
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| Title: | On-Line Optimization for a Batch-Fed Copolymerization Reactor with Partial State Measurement |
| Authors: | OKORAFO, ONYINYE |
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| Keywords: | state estimation
kalman filter
polymerization
optimization |
| Issue Date: | 2009 |
| Series/Report no.: | Canadian theses |
| Abstract: | Polymerization processes require adequate monitoring to ensure that the final product meets specification. Various on-line measuring techniques have been developed and implemented to track polymer properties in reactors. For most processes, however, on-line measurement cannot be implemented. In other situations, certain polymer properties or states might not be measurable and hence have to be estimated. This work deals with improving an on-line optimization technique and demonstrating its eff ectiveness by sensitivity analysis. In addition, state estimation is used as a tool to reconstruct states that are unavailable for measurement in a styrene and butyl methacrylate batch-fed solution free-radical copolymerization process subject to on-line optimization. A hybrid extended Kalman filter is used to observe the nonlinear dynamic system which is subject to real-time dynamic optimization. With very limited measurement information, the states of the system were reconstructed. Additional unobservable quantities were reconstructed using the process model and estimated states. |
| Description: | Thesis (Master, Chemical Engineering) -- Queen's University, 2009-09-28 16:02:55.974 |
| URI: | http://hdl.handle.net/1974/5254 |
| Appears in Collections: | Queen's Theses & Dissertations
Chemical Engineering Graduate Theses
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