Design of an Advanced Fuzzy Controller for a Binary Distillation Column
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Date
2025-07-19
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UNIVERSITY 20 AOUT 1955 – SKIKDA FACULTY OF TECHNOLOGY (DEPARTEMENT OF PETROCHIMICAL AND PROCESS ENGINEERING)
Abstract
Fuzzy logic (FL) is a reasoning approach inspired by human thinking, developed to reduce the
uncertainties associated with vague or imprecise information. Most fuzzy logic controllers are built
using type-1 fuzzy sets and are referred to as type-1 FLCs. However, recent studies have shown that
a new class of controllers, called type-2 FLCs, is more capable of managing the nonlinearities and
high levels of uncertainty present in complex systems.
This brief thesis focuses on the control of three different systems using PID, type-1 fuzzy logic,
and type-2 fuzzy logic. After presenting a theoretical background covering the essential concepts and
definitions, we developed the modeling and control strategies for these processes, applying both type1 and type-2 fuzzy logic as well as PID controllers.
Finally, simulation results obtained in MATLAB demonstrate the superior performance of the
type-2 fuzzy controller compared to both the type-1 controller and the PID controller.