Queen's University - Utility Bar

QSpace at Queen's University >
Theses, Dissertations & Graduate Projects >
Queen's Theses & Dissertations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/5254

Title: On-Line Optimization for a Batch-Fed Copolymerization Reactor with Partial State Measurement
Authors: OKORAFO, ONYINYE

Files in This Item:

File Description SizeFormat
Okorafo_Onyinye_E_20099_MASc.pdf1.99 MBAdobe PDFView/Open
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

Items in QSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

  DSpace Software Copyright © 2002-2008  The DSpace Foundation - TOP