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HIERARCHICAL CONTROL AND OPTIMISATION OF THE TENNESSEE EASTMAN PROCESS
P D Roberts1 and V M Becerra2
1 Control Engineering Research Centre, City University, London EC1V 0HB, UK, email:
p.d.roberts@city.ac.uk
2 Department of Cybernetics, University of Reading, Reading RG6 2AY, UK, email:
v.m.becerra@reading.ac.uk
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
Keywords: optimisation, identification, hierarchical control, chemical industry, steady states
Session slot T-Mo-A21: System Engineering, Management and Control Education/Area code 5a : Large Scale Systems
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