Adaptive Fuzzy Controller based on Cuckoo Optimization Algorithm for A Distillation Column

In this work, a fuzzy logic controller has been applied to control the top and bottom compositions in a binary distillation column. To improve the performance of fuzzy logic controller, Cuckoo optimization algorithm is proposed to optimize its parameters. Compared to ordinary fuzzy logic controller and PID controller, the proposed optimized fuzzy logic controller improves the transient and steady state characteristics of output responses of the distillation column as a MIMO time-delayed process. Furthermore, an adaptive online fuzzy controller is also employed for the plant subjected to the model parameter variations. Simulation results show that the online controller results in a superior control performance in comparison with the offline controllers.