DESIGN OF A DECENTRALIZED GENERALIZED PREDICTIVE CONTROLLER FOR AN INDUSTRIAL OIL-FIRED BOILER SYSTEM
Publication Date : 01/08/2008
This paper presents the design of a decentralized generalized predictive controller for an industrial oil-fired Boiler system. The Industrial oil-fired boiler continuously supplies steam at a temperature of 420 'C and pressure of 3200 kPa to a turbine for power generation and process use. The change in quality and thus calorific value of the oil, decrease in efficiency of the oil feeder system, drying of heating surfaces, burners and feeder(s) pose a control problem to the Industrial oil-tired boiler control system, which is made up of Proportional Integral (PI) controllers. This results in frequent boiler failures with prolonged production stoppages. Simulation studies are carried out where; a decentralized generalized predictive control is applied to the Savannah Sugar Company Limited Numan (SSCLN) boiler system. The results obtained indicate the effectiveness of the technique.
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