Modelling and Contouring Error Bounded Control of a Biaxial Industrial Gantry Machine

Meng Yuan, Chris Manzie, Lu Gan, Malcolm Good, Iman Shames

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Dual drive gantry machines are widely used in industry for manufacturing. However, the non-synchronised movement of the dual drive may lead to deterioration in contouring accuracy, and traditional control architectures commonly used in machining cannot explicitly bound the contouring error to meet a desired tolerance. In this paper, we propose a model predictive control architecture based on switched linear time invariant control-oriented models, that is able to guarantee a two-dimensional contouring tolerance in the presence of uncertainty arising from imperfect drive synchronisation. To develop the controller, we introduce a high-fidelity model for the dual drive gantry machine and identify its parameters using data from an industrial machine, and systematically reduce it to a control-oriented model. The performance and computational tractability of the proposed approach is demonstrated using high fidelity simulations.

Original languageEnglish
Title of host publicationCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages388-393
Number of pages6
ISBN (Electronic)9781728127675
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes
Event3rd IEEE Conference on Control Technology and Applications, CCTA 2019 - Hong Kong, China
Duration: 19 Aug 201921 Aug 2019

Publication series

NameCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications

Conference

Conference3rd IEEE Conference on Control Technology and Applications, CCTA 2019
Country/TerritoryChina
CityHong Kong
Period19/08/1921/08/19

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