Experimental results demonstrate a significant performance improvement in terms of control input variance while maintaining the motion accuracy.
Control input variance is one of the important criteria in machining because it affects the surface roughness, machining precisions and consumed energy.
This paper presents a nonlinear controller design for biaxial feed drive systems for reducing the control input variance while maintaining the motion accuracy.
The controller guarantees stability, and for an input variance of 10%, the average deviation of the temperature from the set point was found to be less that 0.25%.
Hence, we try many experiments with the input variance in the range of [10,70] and choose the best one for each of the algorithms.
Results show that the layout of the merge influences bag throughput and when the physical configuration is in a preferred position, input variance has no effect on bag throughput performance.
Although this design provides better control performance with small control input variance, an inherent contour error exists because of the difficulty in calculating the exact contour error for any contour curve in real time.
The contouring controller is concluded to be effective through an analysis of the proposed design, in that it provides performance comparable to non-contouring controllers with less control input variance.
