Iterative Learning Control for Synchronisation of Multi-Axis Automation Processes

Abstract

Synchronisation is often required to coordinate the actions of the various sub-systems involved in process applications. This is usually achieved through direct mechanical coupling, involving gears, drive belts and cams. Apart from the additional cost incurred, these components are subject to wear, constrain the layout of the plant, and may have limited accuracy. It is shown in this paper that a mechanical linkage between two sub-systems may be replaced by instead implementing a control scheme comprising an iterative learning controller together with a supervisory control loop. To illustrate the approach, two types of iterative learning controller are first implemented on a gantry robot test facility to confirm the high levels of tracking accuracy that may be achieved. The supervisory control loop is then added to synchronise the 'pick and place' action of the robot with a conveyor system moving at constant velocity. Experimental results confirm both the accurate tracking performance provided by the iterative learning controller, and the high level of synchronisation achieved by the overall scheme.

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Identifiers

ORCID for Christopher Freeman: orcid.org/0000-0003-0305-9246

ORCID for Paul Lewin: orcid.org/0000-0002-3299-2556

ORCID for Eric Rogers: orcid.org/0000-0003-0179-9398

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