Identification and control of an extruder using multivariable algorithms

1 January 1986

journal article
Published by Institution of Engineering and Technology (IET) in IEE Proceedings D Control Theory and Applications

Vol. 133 (4) , 145-152
https://doi.org/10.1049/ip-d.1986.0023

Abstract

A bench-scale single-screw extruder was identified using recursive multivariable least-squares and extended least-squares algorithms. A second-order, discrete multivariable process model having nonminimum-phase characteristics was obtained. The extruder was then controlled using two multivariable self-tuning regulators: a quadratic algorithm and a state-space eigenvalue-placement algorithm.

Keywords

STATE-SPACE EIGENVALUE-PLACEMENT ALGORITHM
POLYMER PROCESSING
BENCH-SCALE SINGLE-SCREW EXTRUDER
MULTIVARIABLE SELF-TUNING REGULATORS
DISCRETE MULTIVARIABLE PROCESS MODEL
PLASTIC INDUSTRY
RECURSIVE MULTIVARIABLE LEAST-SQUARES

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