FPGA-based control architecture integration for multiple-axis tracking motion systems

Quang, NK; Kung, YS; Ha, QP

FPGA-based control architecture integration for multiple-axis tracking motion systems

Quang, NK Kung, YS Ha, QP

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Publication Type:: Conference Proceeding
Citation:: 2011 IEEE/SICE International Symposium on System Integration, SII 2011, 2011, pp. 591 - 596
Issue Date:: 2011-12-01

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Field	Value	Language
dc.contributor.author	Quang, NK	en_US
dc.contributor.author	Kung, YS	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	2011 IEEE/SICE International Symposium on System Integration, SII 2011, 2011, pp. 591 - 596	en_US
dc.identifier.isbn	9781457715235	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19092
dc.description.abstract	This paper addresses the integration of a multi-loop PI and neural fuzzy control system for multiple-axis motion positioning and tracking via the use of the Field Programmable Gate Array (FPGA) technology. The controlled plant here is an X-Y table driven by permanent magnet linear synchronous motors. The control system comprises two programmable servo-control systems for both axes, each includes a motion planner, a PI speed controller in the inner loop and a neural fuzzy controller (NFC) in the position loop. Here, to increase the tracking performance in dealing with unmodelled dynamics and cross-axis interferences, the NFC is designed by using a radial basis function neural network in combination with a parameter adjusting mechanism. The very high speed integrated circuit-hardware description language (VHDL) is adopted to describe advantageous behaviors of the proposed control system. To implement the whole control paradigm, the FPGA chip is developed in Quartus II and Nios II software environment, provided by Altera for analysis and synthesis of VHDL designs. Simulation results of the software/hardware co-design have verified the high performance and effectiveness of the proposed chip-based control system in positioning and trajectory tracking for the X-Y table motion. © 2011 IEEE.	en_US
dc.relation.ispartof	2011 IEEE/SICE International Symposium on System Integration, SII 2011	en_US
dc.relation.isbasedon	10.1109/SII.2011.6147515	en_US
dc.title	FPGA-based control architecture integration for multiple-axis tracking motion systems	en_US
dc.type	Conference Proceeding
utslib.for	0802 Computation Theory and Mathematics	en_US
dc.location.activity	Kyoto Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper addresses the integration of a multi-loop PI and neural fuzzy control system for multiple-axis motion positioning and tracking via the use of the Field Programmable Gate Array (FPGA) technology. The controlled plant here is an X-Y table driven by permanent magnet linear synchronous motors. The control system comprises two programmable servo-control systems for both axes, each includes a motion planner, a PI speed controller in the inner loop and a neural fuzzy controller (NFC) in the position loop. Here, to increase the tracking performance in dealing with unmodelled dynamics and cross-axis interferences, the NFC is designed by using a radial basis function neural network in combination with a parameter adjusting mechanism. The very high speed integrated circuit-hardware description language (VHDL) is adopted to describe advantageous behaviors of the proposed control system. To implement the whole control paradigm, the FPGA chip is developed in Quartus II and Nios II software environment, provided by Altera for analysis and synthesis of VHDL designs. Simulation results of the software/hardware co-design have verified the high performance and effectiveness of the proposed chip-based control system in positioning and trajectory tracking for the X-Y table motion. © 2011 IEEE.

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http://hdl.handle.net/10453/19092