Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Twin Screw Profile Plastic Extruder Using Labview

Journal article

Authors / Editors

Ravi, Samikannu

Research Areas

No matching items found.

Publication Details

Author list: Ravi S, Balakrishnan PA, Marimuthu CN, Sujitha C

Publisher: Taylor & Francis: STM, Behavioural Science and Public Health Titles

Place: SAN ANTONIO

Publication year: 2014

Journal: Intelligent Automation & Soft Computing: An International Journal (1079-8587)

Journal acronym: INTELL AUTOM SOFT CO

Volume number: 20

Issue number: 1

Start page: 92

End page: 100

Number of pages: 9

ISSN: 1079-8587

eISSN: 2326-005X

Languages: English-Great Britain (EN-GB)

View in Web of Science | View on publisher site | View citing articles in Web of Science

Abstract

Controlling the temperature of the twin screw extruder is non linear and suffers from problems related to undesirable overshoot, longer settling time, coupling effects and disturbances. The system is designed with four different control techniques to control temperature at different set point changes and as well as to control sudden input disturbances. The technique involved is conventional PID controller, neural controller, mamdani type fuzzy Logic Controller and the proposed method is neuro fuzzy controller. The proposed method is smoothing of undesired control signal and maintains the temperature exactly at its set points. The software incorporates LabVIEW graphical programming for twin screw plastic extruder toolbox.

Keywords

Fuzzy Logic Controller, Neuro Fuzzy Controller, PID Controller, Twin Screw Plastic Extruder

Documents