Polymer extrusion is a complex process and the availability of good dynamic models is key for improved system operation. Previous modelling attempts have failed adequately to capture the non-linearities of the process or prove too complex for control applications. This work presents a novel approach to the problem by the modelling of extrusion viscosity and pressure, adopting a grey box modelling technique that combines mechanistic knowledge with empirical data using a genetic algorithm approach. The models are shown to outperform those of a much higher order generated by a conventional black box technique while providing insight into the underlying processes at work within the extruder.
|Number of pages||12|
|Journal||Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering|
|Publication status||Published - Jan 2007|
ASJC Scopus subject areas
- Control and Systems Engineering