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Fuzzy Logic Controller Design and Implementation for Delayed and Nonlinear Time Variant Batch Distillation Column

Dwisaputra I.a, Pranoto Hidaya R.b, Arief Syaichu R.b, Hidayat E.M.I.b, Mahayana D.b, Handoko A.S.c

a Department of Electro and Informatics Engineering, Politeknik Manufaktur Negeri Bangka Belitung, Sungailiat, Indonesia
b School of Electrical Engineering and Informatics, Bandung Institut of Technology, Bandung, Indonesia
c Research Unit for Mineral Technology, Indonesian Institute of Sciences, Bandar Lampung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE. Distillation column is a non-linear time variant system with delay time. It is very difficult to model due to the difficulty in obtaining parameters in real time during the distillation process. Fuzzy Logic Control (FLC) method is suitable for solving the above problem. The advantages of fuzzy controllers based on fuzzy logic systems are intuitive designs which reflect the behavior of human operators and the fact that controlled process models are not required. Design and implementation of FLC in the batch column distillation have been done. FLC is particularly designed to overcome those problems using 2 inputs (error and time) and 1 output reflux ratio. PID controller is also designed as a comparison. The implementation used 3 liters of low concentration ethanol (30 % ). The setpoint is set up in 80% concentrate. The results show that FLC is able to keep product concentration steady up to 1 hour 6 minutes 40 seconds with maximum overshoot of 1.9%.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Batch distillation columns,Delay Time,Fuzzy logic control,PID controllers,Time variant[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Batch distillation column,Delay time,Fuzzy logic control,Nonlinear time variant,PID controller[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICICI-BME.2017.8537722[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]