TY - GEN
T1 - Modelling and Contouring Error Bounded Control of a Biaxial Industrial Gantry Machine
AU - Yuan, Meng
AU - Manzie, Chris
AU - Gan, Lu
AU - Good, Malcolm
AU - Shames, Iman
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85077799020&partnerID=8YFLogxK
U2 - 10.1109/CCTA.2019.8920638
DO - 10.1109/CCTA.2019.8920638
M3 - Conference contribution
T3 - CCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
SP - 388
EP - 393
BT - CCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Conference on Control Technology and Applications, CCTA 2019
Y2 - 19 August 2019 through 21 August 2019
ER -