Abstract
In the recent past Metahuristic algorithms are most widely used in process industries for providing optimum outputs under certain constraints. Almost all the industrial processes are multivariable in nature with strong interactions and nonlinearities. For such processes producing optimum response is cumbersome with conventional optimization algorithms while metahuristic algorithms provide better solution. In this paper BAT algorithm, a recently developed metahuristic algorithm is used to obtain optimum response of coal gasifier which is a highly nonlinear multivariable process having strong interactions among the control loops. The existing controller along with its tuned parameters does not able to satisfy the constraints at 0% load for sinusoidal pressure disturbance otherwise this seems to be fine. The parameter of pressure loop PI controller is retuned using BAT algorithm and the performance tests are conducted. Test results shows that the retuned controller provides better response, meeting all the constraints at all load conditions.
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Kotteeswaran, R., Sivakumar, L. (2013). Optimal Partial-Retuning of Decentralised PI Controller of Coal Gasifier Using Bat Algorithm. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_66
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DOI: https://doi.org/10.1007/978-3-319-03753-0_66
Publisher Name: Springer, Cham
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