@article {10.3844/jcssp.2011.671.677,
article_type = {journal},
title = {Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Dual Screw Profile Plastic Extruder Using Labview},
author = {Samikannu, Ravi and Poonamallie, Balakrishnan Anantharaman},
volume = {7},
number = {5},
year = {2011},
month = {May},
pages = {671-677},
doi = {10.3844/jcssp.2011.671.677},
url = {https://thescipub.com/abstract/jcssp.2011.671.677},
abstract = {Problem statement: The temperature control in plastic extrusion machine is an important
factor to produce high quality plastic products. The first order temperature control system in plastic
extrusion comprises of coupling effects, long delay time and large time constants. Controlling
temperature is very difficult as the process is multistage process and the system coupled with each
other. In order to conquer this problem the system is premeditated with neuro fuzzy controller using
LabVIEW. Approach: The existing technique involved is conventional PID controller, Neural
controller, mamdani type Fuzzy Logic Controller and the proposed method is neuro fuzzy controller.
Results: Manifest feature of the proposed method is smoothing of undesired control signal of
conventional PID, neural controller and mamdani type FLC controller. The software incorporated the
LabVIEW graphical programming language and MATLAB toolbox were used to design temperature
control in plastic extrusion system. Hence neuro fuzzy controller is most powerful approach to retrieve
the adaptiveness in the case of nonlinear system. Conclusion: The tuning of the controller was
synchronized with the controlled variable and allowing the process at its desired operating condition.
The results indicated that the use of proposed controller improve the process in terms of time domain
specification, set point tracking and also reject disturbances with optimum stability.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}