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


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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


Pages

Total Pages: 9
Pages: 92-100

DOI
10.1080/10798587.2013.771453


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Published

Volume: 20
Issue: 1
Year: 2014

Cite this document


References

ACSE 05 Conference

Nara Seema International Journal Of Electronics, Information and Systems 12.2 (2010)

Zhou Hongfu Proceedings of the IEEE International Conference on Networking, Sensing and Control (ICNSC08) https://doi.org/10.1109/ICNSC.2008.4525195

Ching-Chih Tsai, & Lu, Chi-Huang IEEE Transactions on Industry Applications 34.2 (1998)

Hassan Mohammed Y. IAENG International Journal of Computer Science 34.2 (2008)

Khan Sheroz Journal of Computer Science 4.10 (2008) https://doi.org/10.3844/jcssp.2008.799.806

Proceedings of the International Conference on Man-Machine System (ICOMMS)

Mehrabian AliReza IAENG Engineering Letters 15.1 (2008)

Yao Leehter International Journal of Innovative Computing, Information and Control 5.10 (2009)

Tsai, Ching‐Chih, and Chi‐Huang Lu. "Fuzzy Supervisory Predictive PID Control of a Plastics Extruder Barrel." Journal of the Chinese Institute of Engineers 21.5 (1998): 619-624. Crossref. Web. https://doi.org/10.1080/02533839.1998.9670423

Giriraj Kumar S. M Indian Chemical Engineer Indian Institute of Chemical Engineers 50.3 (2008)

Causaa Javier Computers and Chemical Engineering https://doi.org/10.1016/j.compchemeng.2008.05.014

Lei Hanwu Journal of Cereal Chemistry 82.5 (2005) https://doi.org/10.1094/CC-82-0582

Boutalis, Y., D.C. Theodoridis, and M.A. Christodoulou. "A New Neuro-FDS Definition for Indirect Adaptive Control of Unknown Nonlinear Systems Using a Method of Parameter Hopping." IEEE Transactions on Neural Networks 20.4 (2009): 609-625. Crossref. Web. https://doi.org/10.1109/TNN.2008.2010772

Theodoridis D. International Journal of Neural Systems (IJNS) 20.2 (2010) https://doi.org/10.1142/S0129065710002310

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


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