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

S. Ravi, P. A. Balakrishnan, C. N. Marimuthu, C. Sujitha

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)92-100
Number of pages9
JournalIntelligent Automation and Soft Computing
Volume20
Issue number1
DOIs
Publication statusPublished - Jan 1 2014

Fingerprint

Plastics extruders
LabVIEW
Neuro-fuzzy
Point Sets
Plastics
Disturbance
Controller
Controllers
Temperature Control
Fuzzy Logic Controller
Overshoot
Signal Control
Change Point
PID Controller
Fuzzy Controller
Smoothing
Programming
Temperature
Software
Extruders

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

Cite this

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Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Twin Screw Profile Plastic Extruder Using Labview. / Ravi, S.; Balakrishnan, P. A.; Marimuthu, C. N.; Sujitha, C.

In: Intelligent Automation and Soft Computing, Vol. 20, No. 1, 01.01.2014, p. 92-100.

Research output: Contribution to journalArticle

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