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Feed Furnace Temperature Control Based on the Distributed Deviations

Abstract:

The feed heating furnace is an important devise in many petrochemical processes. Keeping under control the temperature of the feeding improves the performance and quality of the final product. Industrial furnaces usually have multiple burners and parallel tube-passes to handle the throughputs and reduce the furnace pipe pressure. In this paper, a design method based on distributed deviation for load balancing and temperature tracking control in the set of passes is proposed. The control actions on the inlet feed and fuel flow rates are included in the constraint conditions of the controller design algorithm. More practically, the temperature differences among passes are guaranteed in a boundary range over a period of time by relaxing the requirement of asymptotic consensus of temperature control across all passes in steady-state. The control scheme shows to be more cost-effective when there is a large number of passes. The simulation results illustrate that the new controller design method is effective and the distributed deviation control scheme is feasible for a class of industrial feed heaters.