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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
American Control Conference, 1999. Proceedings of the 1999
         
        
            Conference_Location : 
San Diego, CA
         
        
        
            Print_ISBN : 
0-7803-4990-3
         
        
        
            DOI : 
10.1109/ACC.1999.782799