
The Application of Fuzzy Logic Control
Studies of the Application of Empirical Viscosity Models and Fuzzy Logic to the Polymer Extrusion Process Control
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In the polymer extrusion process the product quality can be achieved by controlling the melt viscosity within a narrow fluctuation range. On the demand of using viscosity-measuring instruments as sensors to control the quality of the products, we developed an empirical off-line viscosity model, which is used to derive the extrusion viscosity models in the control process without in-line rheometer. The objective of this study is to develop extrusion viscosity models together with collected data from several experimental tests and template rule-base to build a Multi-Input Multi-Output fuzzy logi...
In the polymer extrusion process the product quality
can be achieved by controlling the melt viscosity
within a narrow fluctuation range. On the demand of
using viscosity-measuring instruments as sensors to
control the quality of the products, we developed an
empirical off-line viscosity model, which is used to
derive the extrusion viscosity models in the control
process without in-line rheometer. The objective of
this study is to develop extrusion viscosity models
together with collected data from several
experimental tests and template rule-base to build a
Multi-Input Multi-Output fuzzy logic closed-
loop controller for the plastics extrusion control.
The objective of this controller is to eliminate
process variations and to produce the polymer of
consistent quality. The fuzzy logic is provided for
designing the MIMO closed-loop controller because it
is suitable for applying to the polymer extrusion
process control with such advantages as handling
complex problems like non-linear and poor quality
measurements,etc. An off-line simulation and the
closed-loop tests are performed on the extruder to
test the effectiveness of the MIMO FLC.
can be achieved by controlling the melt viscosity
within a narrow fluctuation range. On the demand of
using viscosity-measuring instruments as sensors to
control the quality of the products, we developed an
empirical off-line viscosity model, which is used to
derive the extrusion viscosity models in the control
process without in-line rheometer. The objective of
this study is to develop extrusion viscosity models
together with collected data from several
experimental tests and template rule-base to build a
Multi-Input Multi-Output fuzzy logic closed-
loop controller for the plastics extrusion control.
The objective of this controller is to eliminate
process variations and to produce the polymer of
consistent quality. The fuzzy logic is provided for
designing the MIMO closed-loop controller because it
is suitable for applying to the polymer extrusion
process control with such advantages as handling
complex problems like non-linear and poor quality
measurements,etc. An off-line simulation and the
closed-loop tests are performed on the extruder to
test the effectiveness of the MIMO FLC.