Liquid flow process single loop fuzzy logic control at Model WF922

Wan Nor, Wan Arifin (2017) Liquid flow process single loop fuzzy logic control at Model WF922. [Student Project] (Unpublished)

Abstract

Flow measurement and control are essential in plant process control. The aim of this paper is to study the performance and to find the best input and output signal of Fuzzy Logic controller for flowing fluids. This controller is implemented using DeltaV Fuzzy Control programming, which uses the Fuzzy Logic Control (FLC) function block to provide an advance alternative to standard PID control. During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the input-output relations. By using Load Disturbance Test, each setpoint of 1.8, 3.5 and 4.2m3/h liquid, will be having four different parameters of Error (e), Change of Error (Δe), and Change of Output (Δu). The comparative results would be the difference of settling time, Integral Absolute Error (IEA) and decay ratio.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Wan Nor, Wan Arifin
2013554991
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Ahmad, Mohd Aizad
UNSPECIFIED
Subjects: T Technology > TP Chemical technology > Chemical engineering
T Technology > TP Chemical technology > Chemical engineering > Distillation
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Chemical Engineering
Programme: Bachelor of Engineering (Hons) Chemical and Process
Keywords: Fuzzy Logic Control (FLC), Fow measurement, Load disturbance test, Performance
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/120098
Edit Item
Edit Item

Download

[thumbnail of 120098.pdf] Text
120098.pdf

Download (411kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

120098

Indexing

Statistic

Statistic details