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.
|Title of host publication||15th Triennial World Congress of the International Federation of Automatic Control (IFAC)|
|Publication status||Published - 2002|
- optimisation, identification, hierarchical control, chemical industry, steady states