Title: Closed-loop thickness control and sensor placement in extrusion blow moulding

Authors: Mostafa Darabi; Raffi Toukhtarian; Hossein Vahid Alizadeh; Benoit Boulet

Addresses: Department of Electrical and Computer Engineering, Centre for Intelligent Machine, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada ' Department of Electrical and Computer Engineering, Centre for Intelligent Machine, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada ' Department of Electrical and Computer Engineering, Centre for Intelligent Machine, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada ' Department of Electrical and Computer Engineering, Centre for Intelligent Machine, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada

Abstract: Extrusion blow moulding (EBM) is a polymer forming technique used to manufacture hollow plastic parts, such as fuel tanks. In this work, the feasibility of using closed-loop control in EBM is explored to compensate for machine drift and disturbances. A control system is proposed to regulate the extrusion process in EBM. The extrusion controller aims to increase process consistency by minimizing part thickness deviations. The thickness of the extrudate is measured during the extrusion cycle and any deviation from the desired thickness profile is compensated by changing the die gap in real time. The controller, which offers flexibility in thickness sensor placement, features a Smith predictor configuration embedding an H_∞ controller. It compensates for the input-dependent polymer transport delay, the nonlinear steady-state swell, and nonminimum phase necking effects affecting the extrudate. This extrusion control technique may help reduce the production rate of off-specification parts and improve product quality.

Keywords: H_∞ controller; optimal control; Smith predictor; parameter identification; polymer extrusion; sensor placement; variable die gap; input-dependent delay; Hammerstein block.

DOI: 10.1504/IJAAC.2022.125287

International Journal of Automation and Control, 2022 Vol.16 No.5, pp.621 - 648

Received: 25 Apr 2020
Accepted: 06 Oct 2020
Published online: 06 Sep 2022 *

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