DocumentCode :
342934
Title :
Neural network cross-coupling gain controller for a bi-axial contouring system
Author :
Crispin, A.J. ; Ibrani, L. ; Taylor, G.E. ; Waterworth, G.
Author_Institution :
Sch. of Eng., Leeds Metropolitan Univ., UK
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
351
Abstract :
An approach for improving the contouring performance of a computer controlled x-y table by using a neural network to interpolate between measured optimal cross-coupling gain values has been developed. The paper discusses the implementation of the proposed control structure for circular and other curved trajectories. Experimental results show that for a circular trajectory contour error is reduced as compared to the conventional uncoupled control of the two axes
Keywords :
computerised instrumentation; neurocontrollers; path planning; position control; tracking; biaxial contouring system; circular trajectory; contouring; cross-coupling gain control; neural network; neurocontrol; path planning; position control; real time systems; x-y table; Computer errors; Computer networks; Control systems; Gain measurement; Neural networks; Neurons; Optimal control; Performance gain; Position measurement; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
ISSN :
0743-1619
Print_ISBN :
0-7803-4990-3
Type :
conf
DOI :
10.1109/ACC.1999.782799
Filename :
782799
Link To Document :
بازگشت