A fuzzy
logic controller (FLC) is appropriate for systems with
high complexity and nonlinearity. FLC is implemented directly on a
chemical process simulator in dynamic mode to handle some uncertainty
of the system. Also because accurate tuning of the fuzzy membership
functions (MFs) is difficult and has an important effect on FLC performance,
particle swarm optimization (PSO) is utilized. To display capability
of this method, FLC is optimized with PSO. Next PSO-FLC is used to
control pressure of a distillation column in an ethane plus recovery
process in dynamic mode. Results show that the proposed method can
use PSO-FLC in the Hysys dynamic efficiently.
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