Initial learn of adaptive feedforward coefficients
View Patent ↗The present invention reduces the time required for coefficient convergence and thus improves time-to-ready. To that end, the present invention provides an initial learn—preferably non-zero—coefficient. The initial learn coefficient is based on a translation of timing information to position information. One aspect of the present invention uses address marks of a disc then translates them to phase position information. The present invention measures the times between address marks of adjacent servo sectors. Variations between those times is related is related to disc runout, particularly disc eccentricity. Also, the servo sectors are used to identify at which phase the maximum amplitude (or magnitude) of the timing variations occur. This phase information and maximum amplitude are used as variables in determining the initial learn coefficient. The present invention also utilizes a plant model to predetermine a variable. This variable is used in conjunction with the phase and maximum amplitude variables to determine the initial learn coefficient. Other aspects of the present invention use approximations or statistical values to determine the initial learn coefficient. For example, the maximum amplitude can be based on a clearance between an inner diameter of a disc and a spindle. The phase can be based on a value within a range of phases. The plant model can be changed to include assumptions, approximations or other factors.
1. A method of compensating for runout comprising the step of providing an initial learn coefficient that is generated from timing information.
2. The method of claim 1 wherein the step of providing includes the step of translating timing information to position information, wherein the determined initial learn coefficient is determined responsive to the position information.
3. The method of claim 1 further comprising the steps of initializing a learn coefficient to the determined initial learn coefficient having a non-zero value; and converging on the learn coefficient.
4. The method of claim 3 wherein the timing information has a relationship to the runout.
5. The method of claim 4 wherein the timing information is a timing relationship among information written on a disc.
6. The method of claim 5 wherein the information written on the disc arc address marks.
7. The method of claim 5 wherein the timing relationship is determined from timing differences between address marks of adjacent servo sectors.
8. The method of claim 3 wherein the converging step occurs during a learn mode.
9. The method of claim 1 wherein the step for providing includes generating a magnitude value and a phase value.
10. The method of claim 9 further comprising the step of using a predetermined gain value.
11. The method of claim 1 further comprising the step of switching to a learn mode.
12. The method of claim 11 wherein the step of switching occurs about a transition to a track follow mode.
13. A method of compensating for disc eccentricity, comprising the steps of:
determining repeatable timing errors;
using the repeatable timing errors to generate initial learn coefficients; and
using the learn coefficients to reduce a time for coefficient convergence for feedforward compensation.
14. The method of claim 13 wherein the learn coefficients are non-zero.
15. The method of claim 13 address marks are used to determine the repeatable timing errors.
16. The method of claim 13 wherein the step fur using the repeatable timing errors to generate initial learn coefficients includes generating a magnitude value and a phase value.
17. A servo control system comprising a controller that provides a determined initial learn coefficient.
18. The servo control system of claim 17 wherein the controller is adapted to perform a learn mode.
19. The servo control system of claim 17 wherein the controller receives information associated with a disc and uses the information to generate the initial learn.
20. A method comprising the steps of:
using timing information to generate at least one initial learn coefficient; and
using the at least one initial learn coefficient to reduce a time for coefficient convergence for feedforward compensation.