Abstract
Based on integrated system optimisation and parameter estimation a method is described for on-line steady state optimisation which compensates for model-plant mismatch and solves a non-linear optimisation problem by iterating on a linear - quadratic representation. The method requires real process derivatives which are estimated using a dynamic identification technique. The utility of the method is demonstrated using a simulation of the Tennessee Eastman benchmark chemical process.
Original language | Undefined/Unknown |
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Title of host publication | 15th Triennial World Congress of the International Federation of Automatic Control (IFAC) |
Publication status | Published - 2002 |
Keywords
- optimisation, identification, hierarchical control, chemical industry, steady states