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FPGA-Realization of Adaptive Fuzzy Controller for the Linear X-Y Table

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3 Author(s)
Ying-Shieh Kung ; Dept. of Electr. Eng., Southern Taiwan Univ. ; Le Thi Van Anh ; Shin-Hung Jou

This study presents an adaptive fuzzy controller for linear X-Y table based on FPGA (Field Programmable Gate Array) technology. The linear X-Y table is driven by two PMLSMs (Permanent Magnet Linear Synchronous Motors). Firstly, a mathematic modeled for PMLSM drive is defined. Secondly, to increase the performance of the PMLSM drive system, an AFC (Adaptive Fuzzy Controller) constructed by a fuzzy basis function and a parameter adjustable mechanism is derived and applied to the position control loop of drive system in x-axis table and y-axis table to cope with the effect of the system dynamic uncertainty and external load. Thirdly, the overall AFC and other circuits for the motion controller of linear X-Y table are implemented by a single FPGA. Finally, an experimental system is set up to evaluate the performance of the controller system.

Published in:

2008 Eighth International Conference on Intelligent Systems Design and Applications  (Volume:3 )

Date of Conference:

26-28 Nov. 2008