A Novel Bat Algorithm Based Re-tuning of PI Controller of Coal Gasifier for Optimum Response
In this paper a novel BAT algorithm, a recently developed metahuristic algorithm is used to retune the parameters of pressure loop PI controller of coal gasifier, which is a highly nonlinear multivariable process having five controllable inputs and four outputs and strong interactions among the control loops. Functioning of coal gasifier involves many constraints to be satisfied on inputs and outputs. The existing controller along with its tuned parameters does not able to satisfy the constraints at 0% load for sinusoidal pressure disturbance and provides better response at 100% and 50% load conditions. The parameter of pressure loop PI controller is re-tuned using Lévy Flight (LF) guided BAT algorithm and performance tests which includes, pressure disturbance test, load change test and coal quality test are conducted. Test results shows that the re-tuned controller provides better response, meeting all the constraints at 0%, 50% and 100% load conditions.
KeywordsBat Algorithm ALSTOM benchmark challenge II Coal gasifier Integrated Gasification Combined Cycle Metahuristic Algorithm Lévy Flight
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