An apparatus includes a disk locked clock system and a feedforward microactuator compensator. The disk locked clock system is configured to estimate a timing error and generate a timing error signal. The feedforward microactuator compensator is configured to generate a microactuator compensation signal, without use of a vibration sensor signal, in response to the timing error signal.
An apparatus includes a disk locked clock system and a feedforward VCM compensator. The disk locked clock system is configured to estimate a timing error and generate a timing error signal. The feedforward VCM compensator is configured to generate a VCM compensation signal, without use of a vibration sensor signal, in response to the timing error signal.
An integrated circuit includes means for correcting for disturbances without use of a vibration sensor, means for controlling a position of a voice coil motor (VCM) assembly, via a VCM control loop, in response to the means for correcting; and means for controlling a position of a microactuator, via a microactuator control loop, in response to the means for correcting.
While multiple embodiments are disclosed, still other embodiments of the present disclosure will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the disclosure. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not restrictive.
While the disclosure is amenable to various modifications and alternative forms, specific embodiments have been shown by way of example in the drawings and are described in detail below. The intention, however, is not to limit the disclosure to the particular embodiments described but instead is intended to cover all modifications, equivalents, and alternatives falling within the scope the appended claims.
Certain embodiments of the present disclosure are directed to servo control systems including multi-stage actuation systems, and more particularly, to disturbance compensation approaches for use in servo control systems.
The voice coil motor assembly 120 (including a voice coil 124 shown in
During operation, hard drives may experience internal disturbances and/or be subject to external disturbances that affect hard drive performance and can cause data reading and writing errors. External disturbances can include, for example, vibration in a computer chassis caused by acoustic signals generated by speakers coupled to the computer chassis. Internal disturbances can include one or more of the read/write heads 116 contacting the magnetic recording medium 106 or a particle and inducing vibration within the actuator assembly 112.
These disturbances may cause the actuator assembly 112 to vibrate to such an extent that the actuator assembly 112 is unable to accurately maintain a desired position over the magnetic recording disks 106. For example, the read/write heads 116 may be reading data from or writing data to a desired track on one of the magnetic recording disks 106 when the shock event occurs or while computer speakers play music. The disturbances may cause the actuator assembly 112 and the read/write heads 116 to move off the desired track (i.e., off-track). This results in writing or reading errors because the read/write heads 116 are knocked off-track—making it difficult for a positioning system (e.g., servo control system) to correct the position of the actuator assembly 112 before the read or write operation is completed. An off-track writing error may result in a hard error where the read/write heads 116 write data to an unknown track, which may overwrite already-written data. An off-track reading error may result in an operation called a read retry where the hard drive 100 attempts to re-read the desired data, which can affect performance of a computer using the hard drive 100.
To detect and compensate for the above-mentioned disturbances, hard drives can be provisioned with one or more vibration sensors. However, vibration sensors can be relatively expensive and can use up (or not fit into) available real estate on a circuit board or flex circuit. The present disclosure is accordingly directed to disturbance compensation approaches for use in servo control systems without requiring use of a vibration sensor. In particular, the present disclosure contemplates utilizing a disk locked clock (DLC) error signal in various disturbance compensation approaches. Although the present disclosure discusses disturbance compensation without use of a vibration sensor, it is appreciated that one or more vibration sensors could be used in addition to or in combination with the approaches of the present disclosure.
The positioning region 306 includes a preamble 308 and servo address mark (SAM) region 310. Although not shown in
One exemplary use of positioning data, in particular, data stored in the SAM region 310, is to estimate and correct frequency error of the hard drive's sampling clock. The frequency error is estimated by a disk locked clock (DLC) system (see 450 in
The inventors of the present application have found that content of the DLC system's frequency error correlates to content of an uncompensated position error signal (PES), particularly in a down-track direction. In other words, DLC error can be used as an approximation of PES resulting from a disturbance. Because of the correlation between DLC error and uncompensated PES, DLC error can be used in place of using a physical vibration sensor, which is typically used to detect disturbances within a hard drive and to generate disturbance signals that assist in compensating for PES.
Generally, the PES 406 is used to adjust a position of a read/write head 116 with respect to tracks on the magnetic recording disk 106 such that the read/write head 116 is positioned over the desired track. For example, the PES 406 is inputted to a voice coil motor (VCM) controller 414, which assists with controlling current applied to the voice coil 124 for rotating the actuator control assembly 112. The PES 406 is also inputted to a microactuator controller 408, which assists with controlling voltage applied to the microactuator 118 (e.g., PZT elements) for pivoting the read/write head 116.
As described above, the DLC system 450 measures timing between SAM regions in consecutive servo wedges on a magnetic recording disk to estimate a DLC error (e.g., frequency error) and generate a DLC error signal, which is indicative of the DLC error and is designated as u(n) in
The servo control system 400 includes a microactuator controller 408, microactuator notch filter 410, microactuator feedforward compensator 412, VCM controller 414, VCM notch filter 416, and VCM feedforward compensator 418. In addition to utilizing DLC error to correct for disturbances, the servo control system 400 of the present disclosure is designed to decouple components of the microactuator control loop from components of the voice coil motor (VCM) control loop. As will be shown by Equations 1-9 below, the servo control system 400 can be configured such that microactuator controller 408 can be designed separately from the VCM controller 414. This is useful because aspects of the servo control system 400—such as filter parameters for particular disturbances and frequencies—can be tuned for effective compensation of disturbances experienced by the actuator assembly 112 and estimated by DLC error. In particular, the microactuator controller 408, microactuator notch filter 410, microactuator feedforward compensator 412 can be designed to compensate for higher frequency disturbance components while the VCM controller 414, VCM notch filter 416, and VCM feedforward compensator 418 can be designed to compensate for lower frequency disturbance components.
During operation of the hard drive 100, the PES 406 is used to adjust a position of the read/write head 116 with respect to tracks on the magnetic recording disk 106 such that the read/write head 116 is positioned over the desired track. For example, the PES 406 is injected into the VCM controller 414, which generates a VCM control signal that assists with controlling current applied to the voice coil 134 for rotating the actuator assembly 112. The PES 406 is also injected into the microactuator controller 408, which generates a microactuator control signal that assists with controlling voltage applied to the microactuator 118 (e.g., PZT elements) for pivoting the read/write head 116.
VCM and microactuator compensation signals, Ypzt(n) and Yvcm(n), are generated in response to the PES 406 and DLC error signal(s), u(n), using the microactuator feedforward compensator 412 and VCM feedforward compensator 418, respectively. The compensation signals are applied to the respective VCM and microactuator stages of the servo control system 400 to compensate for disturbances. As shown in
The modified microactuator control signal is also used by the microactuator model feedback filter 420, which can take the form of a low-order filter that represents the position of the microactuator. The microactuator model feedback filter 420 is designed to offset an estimated microactuator position from PES inputted to the VCM controller 414. The microactuator model feedback filter 420 filters the modified microactuator control signal after which the filtered modified microactuator control signal is added to from the PES 406 at junction 424 to generate a modified PES. The modified PES is modified such that the effect of the microactuator position is removed. In other words, the modified PES is the estimated residual PES after accounting for the microactuator positioning. The modified PES is injected into the VCM controller 408. As such, the VCM controller 414, VCM notch filter 416, and VCM feedforward compensator 418 can be designed to focus on disturbance components better suited to be compensated for by the VCM. The VCM compensation signal, YVCM(n), generated by the VCM feedforward compensator 418 is injected at summing node 426, which is positioned after both the VCM controller 414 and VCM notch filter 416 and which generates a final VCM control signal that controls current to the voice coil 134 of the voice coil motor assembly 120 to rotate the actuator assembly 112.
The compensation signals can be tailored to the response characteristics of the VCM and microactuator portions of the servo control system 400. For example, higher frequency disturbance compensation may be applied to the microactuator because the microactuator is better able to compensate such higher frequency disturbance components. Lower frequency disturbance compensation may be applied to the VCM because the VCM is better able to compensate such lower frequency disturbance components.
In some embodiments, the input filter 502 normalizes the phase of the DLC error signal u(n) and removes certain undesired disturbances or disturbance components from the DLC error signal, u(n). The input filter 502 outputs a forward prediction error signal and a backward prediction error signal to a first stage of the N number of stages of the adaptive lattice filter 504. The outputs from the adaptive lattice filter 504 are tap inputs to each of the various stages of the VCM and microactuator regression filters 510, 512. The VCM and microactuator regression filters 510, 512 have N number of lattice regression filter stages corresponding to the N number of lattice filter stages of the adaptive lattice filter 504.
For each lattice filter stage and corresponding lattice regression filter stage, the backward prediction error signal passes through a VCM plant model filter 506 and microactuator plant model filter 508 to adapt coefficients of the VCM and microactuator regression filters 510, 512 jointly with the PES 406. The VCM plant model filter 506 and the microactuator plant model filter 508 function to maintain LMS adaption stability of the servo control system 400.
The VCM and microactuator regression filters 510, 512 are connected to various taps of the adaptive lattice filter 504 to receive orthogonal prediction error signals from each stage. Each successive stage outputs a new set of orthogonal error signals. The signals may be processed through the adaptive lattice filter 504 in accordance with the so-called Gram-Schmidt Orthogonalization procedure whereby the adaptive lattice filter 504 uses reflection coefficients to split the input signal into N sets of orthogonal signals.
Each stage of the VCM and microactuator regression filters 510, 512 receives a separate one of the backward prediction error signals, and applies a regression step to generate respective lattice stage error signals and compensation signals, Yvcm(n) and Ypzt(n). Nominally, the final error signal is driven to zero or a nominal value and the final correction signals, Yvcm(n) and Ypzt(n), are output for injection into VCM or microactuator control signals where the VCM regression filter 510 is injected after the VCM notch filter 416 and the microactuator regression filter 512 is injected before the microactuator notch filter 410.
The Equations presented below describe operation of the servo control system 400. In particular, Equation 9 shows that the microactuator plant model 508 can be described by microactuator components independent from and/or without VCM components. As such, the VCM plant model 506 and microactuator plant model 508 can be designed independently to compensate for certain disturbance components.
Pv=VCM plant without notch filter
Pp=microactuator plant without notch filter
Nv=VCM notch filter
Np=microactuator notch filter
Cv=VCM controller
Cp=microactuator controller
dv=equivalent input disturbance at VCM input
dp=equivalent input disturbance at microactuator input
OL=overall open loop transfer function
OLp=microactuator open loop function
e=PES
Equation 1, showing components of a signal transfer function from dv, dp to PES:
Equation 2, showing components of the overall open loop transfer function of the servo control system 400:
OL=PpNpCp+PpNpCpPvNvCv+PvNvCv.
Equation 3, showing components of the decoupled microactuator open loop transfer function of the servo control system 400:
OLp=1+PpNpCp
1+OL=(1+PpNpCp)×(1+PvNvCv) Equation 4:
Equation 5, where Equation 4 is substituted into Equation 1:
Equation 6, which is a simplification of Equation 5:
Equation 7, which is a simplification of Equation 6:
Equation 8, representing components of the VCM plant model 506:
Equation 9, representing components of the microactuator plant model 508:
The various embodiments and components described above may be implemented using firmware, integrated circuits, and/or software modules that interact with each other or are combined together. For example, the control diagrams illustrated herein may be used to create computer-readable instructions/code for execution by a processor. Such instructions may be stored on a non-transitory computer-readable medium and transferred to a processor for execution. In another example, the embodiments and components described above, such as components of the servo control system 400, are implemented in one or more application-specific integrated circuits (ASIC). The structures and procedures shown above are only a representative example of embodiments that can be used to provide the functions described hereinabove.
Various modifications and additions can be made to the embodiments disclosed without departing from the scope of this disclosure. For example, while the embodiments described above refer to particular features, the scope of this disclosure also includes embodiments having different combinations of features and embodiments that do not include all of the described features. Accordingly, the scope of the present disclosure is intended to include all such alternatives, modifications, and variations as falling within the scope of the claims, together with all equivalents thereof.
Number | Name | Date | Kind |
---|---|---|---|
4947093 | Dunstan et al. | Aug 1990 | A |
6285522 | McKenzie et al. | Sep 2001 | B1 |
6741417 | Hsin et al. | May 2004 | B2 |
6909574 | Aikawa | Jun 2005 | B2 |
7333280 | Lifchits | Feb 2008 | B1 |
7468857 | Hutsell | Dec 2008 | B2 |
8049982 | Grundvig et al. | Nov 2011 | B1 |
8446687 | Hironaka | May 2013 | B2 |
8797673 | Supino | Aug 2014 | B2 |
8953278 | Zhou | Feb 2015 | B1 |
8982501 | Nicholls | Mar 2015 | B1 |
9058827 | Tu | Jun 2015 | B1 |
9111575 | Zhou et al. | Aug 2015 | B1 |
9171568 | Nicholls | Oct 2015 | B1 |
9202496 | Supino | Dec 2015 | B2 |
9280995 | Fan et al. | Mar 2016 | B2 |
9601143 | Seo | Mar 2017 | B1 |
20120019961 | Lee | Jan 2012 | A1 |
20170017216 | Jan 2017 | A1 |
Number | Date | Country | |
---|---|---|---|
20180061452 A1 | Mar 2018 | US |