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Shape-based Feedforward Tuning: Acceleration Pattern Adjusting Kaff
Notice that in the plot below, the position error plot (white) has a similar shape to the commanded acceleration (yellow), therefore we will add Kaff.
On this stage, adding a Kaff of 1 makes no noticeable difference:
After doubling Kaff each move, we eventually get the following plot when Kaff = 50,000.
It looks like the position error was roughly reduced by half when we changed Kaff = 50,000. That means that if change the Kaff = 100,000, the position error should be fairly close to zero.
The resulting plot shows a position error that is very close to zero and only has a peak position error of 28 countsan impressive 85% reduction. NOTE: This reduction comes with no reduction in stability. As you can see, adding Kaff (acceleration feedforward) can dramatically reduce position error. The stage is actually more stable because P, I, and D need to deal with smaller disturbances, while Kaff is doing most of the work. Obviously, for the example above, we found a good value for Kaff rather quickly. To see some additional plots with different Kaff values (for the same commanded move) to show that the shape pattern of Kaff is fairly simple and consistent, click here. |
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