Disk drive compensating for microactuator gain variations

Description

BACKGROUND

Disk drives comprise a disk and a head connected to a distal end of an actuator arm which is rotated about a pivot by a voice coil motor (VCM) to position the head radially over the disk. The disk comprises a plurality of radially spaced, concentric tracks for recording user data sectors and embedded servo sectors. The embedded servo sectors comprise head positioning information (e.g., a track address) which is read by the head and processed by a servo controller to control the actuator arm as it seeks from track to track.

FIG. 1 shows a prior art disk format 2 as comprising a number of servo tracks 4 defined by servo sectors 6₀-6_N recorded around the circumference of each servo track. Each servo sector 6_i comprises a preamble 8 for storing a periodic pattern, which allows proper gain adjustment and timing synchronization of the read signal, and a sync mark 10 for storing a special pattern used to symbol synchronize to a servo data field 12. The servo data field 12 stores coarse head positioning information, such as a servo track address, used to position the head over a target data track during a seek operation. Each servo sector 6_i further comprises groups of servo bursts 14 (e.g., N and Q servo bursts), which are recorded with a predetermined phase relative to one another and relative to the servo track centerlines. The phase based servo bursts 14 provide fine head position information used for centerline tracking while accessing a data track during write/read operations. A position error signal (PES) is generated by reading the servo bursts 14, wherein the PES represents a measured position of the head relative to a centerline of a target servo track. A servo controller processes the PES to generate a control signal applied to a head actuator (e.g., VCM) in order to actuate the head radially over the disk in a direction that reduces the PES.

As the density of the data tracks increases, a microactuator may be employed in combination with the VCM to improve the tracking performance of the servo system. Any suitable microactuator may be employed, such as a suitable piezoelectric (PZT) actuator. The microactuator may actuate the head over the disk in any suitable manner, such as by actuating a suspension relative to a distal end of an actuator arm, or by actuating a slider relative to the suspension.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a prior art disk format comprising a plurality of servo tracks defined by servo sectors.

FIG. 2A shows a disk drive according to an embodiment comprising a head actuated over a disk by a voice coil motor (VCM) and a microactuator.

FIG. 2B shows a dual stage actuator (DSA) servo loop comprising a VCM servo loop and a microactuator servo loop.

FIG. 2C is a flow diagram according to an embodiment wherein a control signal applied to the microactuator is adjusted in order to linearize a response of the microactuator.

FIG. 3A illustrates an example of microactuator gain variation due to a magnitude of the microactuator control signal.

FIG. 3B illustrates an example of microactuator gain variation due to a derivative of the microactuator control signal.

FIG. 4 is a flow diagram according to an embodiment wherein the gain variation of the microactuator is measured and the measurements used to generate a function that compensates for the gain variations in order to linearize the response of the microactuator.

FIG. 5 illustrates an embodiment where the microactuator gain compensating function is generated by computing a coefficient using a polynomial function.

DETAILED DESCRIPTION

FIG. 2A shows a disk drive according to an embodiment comprising a head 16, a disk surface 18 comprising servo information, and a dual stage actuator (DSA) servo loop (FIG. 2B) comprising a voice coil motor (VCM) servo loop comprising a VCM 20 and a microactuator servo loop comprising a microactuator 22 operable to actuate the head 16 over the disk surface 18. The disk drive further comprises control circuitry 23 operable to execute the flow diagram of FIG. 2C, wherein a position error signal (PES) 24 is generated based on the servo information (block 25), and a first control signal 26 is generated based on the PES (block 28). The first control signal 26 is adjusted based on a function 30 of the first control signal 26 to generate a second control signal 32 that compensates for a gain variation of the microactuator (block 34), and the microactuator 22 is controlled based on the second control signal 32 (block 36).

In the embodiment of FIG. 2A, the disk surface 18 comprises embedded servo sectors 38₀-38_N that define a plurality of servo tracks 40, wherein data tracks are defined relative to the servo tracks (at the same or different radial density). The control circuitry 23 process a read signal 42 emanating from the head 16 to demodulate the servo sectors 38₀-38_N into an estimated position 44 (FIG. 2B). The estimated position 44 is subtracted from a reference position 46 to generate the PES 24 representing an error between the actual position of the head and a target position relative to a target track. The PES 24 is filtered by a microactuator compensator 48 to generate the first control signal 26. The first control signal 26 is applied to a model of the microactuator 50 to generate a compensation signal 52. A VCM error signal 54 of the VCM servo loop is generated based on the PES 24 and the compensation signal 52. The VCM error signal 54 is applied to a VCM compensator 56 to generate a VCM control signal 58 applied to a voice coil motor (VCM) 20 which rotates an actuator arm 60 about a pivot. The servo sectors 38₀-38_N may comprise any suitable position information, such as a track address for coarse positioning and servo bursts for fine positioning. The servo bursts may comprise any suitable pattern, such as an amplitude-based servo pattern or a suitable phase-based servo pattern (e.g., FIG. 1).

Any suitable microactuator 22 may be employed, such as a suitable piezoelectric microactuator. Further, the microactuator 22 may actuate the head 16 over the disk surface 18 in any suitable manner, such as by actuating a suspension 62 relative to the actuator arm 60 as in FIG. 2A, or by actuating a slider relative to the suspension 62. In one embodiment, a gain of the microactuator 22 may vary based on a magnitude of the first control signal 26 and/or a derivative of the first control signal 26, thereby causing the microactuator 22 to exhibit a nonlinear response. This is illustrated in FIG. 3A which shows an example of how the gain of the microactuator may vary as the offset of the head changes due to the magnitude of the first control signal 26 changing. FIG. 3B shows an example of how the gain of the microactuator 22 may vary as the derivative (rate) of the first control signal 26 changes. Accordingly, in one embodiment the first control signal 26 is adjusted as a function 30 of the first control signal 26 in order to compensate for the gain variation of the microactuator 22, thereby linearizing the response of the microactuator 22.

In one embodiment, the control circuitry 23 is operable to measure the gain variations of the microactuator 22 relative to the magnitude and/or derivative of the first control signal 26, and then configure the function 30 in FIG. 2B based on the measurements. The control circuitry 23 may measure the gain variations of the microactuator 22 in any suitable manner, wherein in one embodiment shown in FIG. 2B, the control circuitry 23 is operable to inject a disturbance signal 64 into the microactuator servo loop. In one embodiment, the disturbance signal 64 comprises an offset and at least one sinusoid, such as a disturbance signal 64 of the form:
d_m=ν_o+ε sin(ωt)
where ν_o represents the offset, and ε sin(ωt) is a suitable sinusoid, and the derivative of the above equation is:
d_m′=εω cos(ωt).
In one embodiment, in order to measure the gain of the microactuator 22 the control circuitry 23 opens switches 66A and 66B in FIG. 2B to disable the microactuator servo loop, and then measures a response of the VCM servo loop to the disturbance signal 64. For example, the control circuitry 23 may evaluate the VCM error signal 54 at the frequency ω of the disturbance signal 64. In another embodiment, the control circuitry 23 may generate a feed-forward compensation signal that cancels the effect of the disturbance signal 64 on the VCM servo loop, wherein a magnitude of the feed-forward compensation signal represents the gain of the microactuator 22.

In one embodiment, the gain variation of the microactuator 22 is measured relative to the magnitude of the control signal as shown in FIG. 3A, and the gain variation is measured relative to the derivative of the first control signal as shown in FIG. 3B. In one embodiment, the gain variation relative to the magnitude of the control signal may be measured by setting the amplitude ε of the sinusoid in the disturbance signal 64 to a small value, and then measuring the gain of the microactuator while sweeping the offset ν_o over positive and negative values. The gain variation relative to the derivative of the control signal may be measured by setting the amplitude offset ν_o in the disturbance signal 64 to zero, and then measuring the gain of the microactuator while sweeping the amplitude ε of the sinusoid from zero to a predetermined maximum.

In one embodiment, the measurements shown in FIG. 3A may be curve fitted to a polynomial represented by:
G=ƒ(ν_c,ν_c′)=α₁(ν_c′)+α₂ν_c+α₃ν_c²+ . . . +α_mν_c^m  (1)
where ν_c represents the control signal 32 in FIG. 2B applied to the microactuator (the disturbance signal d_m with the function 30 disabled), and α₁(ν_c′=0) represents the gain of the microactuator at zero offset in FIG. 3A. The function α₁(ν_c′) representing the gain variation relative to the derivative of the control signal may be generated by curve fitting the data in FIG. 3B to a polynomial represented by:
α₁(ν_c′)=φ₀+φ₁ν_c′+φ₂ν_c′²+ . . . +φ_nν_c′ⁿ  (2)
where φ₀ represents the gain of the microactuator at zero rate in FIG. 3B.

The displacement of the microactuator 22 may be estimated by integrating the above gain model:

Y = ⁢ ∫ f ⁡ ( v c , v c ′ ) ⁢ ⁢ ⅆ v c + ∫ f ⁡ ( v c , v c ′ ) ⁢ ⅆ v c ′ ≈ ∫ f ⁡ ( v c , v c ′ ) ⁢ ⅆ v c = ⁢ { φ 0 + φ 1 ⁢ v c ′ + φ 2 ⁢ v c ′ ⁢ ⁢ 2 + … + φ n ⁢ v c ′ ⁢ ⁢ n } ⁢ v c + α 2 ⁢ v c 2 2 + α 3 ⁢ v c 3 3 + … + ⁢ α m ⁢ v c m m
where the dependence of the displacement on the derivative of the control signal dν_c′ is ignored as small compared to the contribution due to the amplitude term dν_c. The gain of the microactuator 22 remains substantially constant relative to the first control signal 26 in FIG. 2B when the following equation holds:

G nom ⁢ v d = { φ 0 + φ 1 ⁢ v c ′ + φ 2 ⁢ v c ′ ⁢ ⁢ 2 + … + φ n ⁢ v c ′ ⁢ ⁢ n } ⁢ v c + α 2 ⁢ v c 2 2 + α 3 ⁢ v c 3 3 + … + α m ⁢ v c m m
where G_nom represents a target nominal gain for the microactuator 22.

The above equation cannot be solved due to the two-to-one mapping of variables:
F:(ν_c,ν_c′)→ν_d
However, the solution can be approximated by quantizing the rate of the control signal ν_c′, and assuming that between each quantized level the above equation represents the displacement of the microactuator with an acceptable level of error. In addition, the solution may be further simplified by assuming that:
ν_c′≈ν_d′;
so that the term:
{φ₀+φ₁ν_c′+φ₂ν_c′²+ . . . +φ_nν_c′ⁿ}ν_c
may be treated as a known constant within each quantized level of the rate, and therefore the above equation reduces to a one-to-one mapping:
F:(ν_c)→ν_dF⁻¹:(ν_d)→ν_c
The above inverse function may be approximated using a polynomial basis function:
ν_c=κ₁ν_d+κ₂ν_d²+ . . . +κ_mν_d^m
Accordingly, for each quantized level of the rate of the control signal ν_d′, a set of (ν_c, ν_d) can be analytically generated to obtain {κ_i}. The function 30 in FIG. 2B may then generate the adjustment signal according to:
Δν_c=(κ₁−1)ν_d+κ₂ν_d²+ . . . +κ_mν_d^m
In one embodiment, the coefficients {κ_i} may be generated using a lookup table indexed by the quantized level of the rate of the control signal ν_d′. In another embodiment, each coefficient in {κ_i} may be approximated by a polynomial function of the quantized level of the rate of the control signal ν_d′. This is illustrated in FIG. 5 which shows an example of the first coefficient κ₁ in {κ_i} versus the rate of the control signal ν_d′ which can be curve fitted to a polynomial, the coefficients of which may be saved and used to compute the first coefficient κ₁ during normal operation. Similar polynomial functions may be generated and their coefficients stored to compute the remaining coefficients in {κ_i} for each quantized level of the rate of the control signal ν_d′.

FIG. 4 is a flow diagram according to the above-described embodiment for generating the function 30 of FIG. 2B, wherein a disturbance signal 64 comprising an offset and at least one sinusoid is injected into the microactuator servo loop (block 68). In order to measure the gain variations of the microactuator 22 relative to the magnitude of the first control signal 26, the amplitude ε of the sinusoid is set to a small value (block 70), the offset is initialized to zero (block 72), and the gain of the microactuator is measured (block 74). The offset is then adjusted (block 76) and the corresponding gain of the microactuator is measured (block 78) for a number of different offset values (block 80). A first polynomial function is then generated based on the measurements as described above with reference to equation (1) (block 82). In order to measure the gain variations of the microactuator 22 relative to the derivative of the first control signal 26, the offset is initialized to zero (block 84) and the amplitude ε of the sinusoid is adjusted (block 86) while measuring the gain of the microactuator for a number of different amplitude values (block 90). A second polynomial function is then generated based on the measurements as described above with reference to equation (2) (block 92). The function 30 in FIG. 2B for generating the adjustment signal Δν_c is then generated based on the first and second functions (block 94) as described above.

Any suitable control circuitry may be employed to implement the flow diagrams in the above embodiments, such as any suitable integrated circuit or circuits. For example, the control circuitry may be implemented within a read channel integrated circuit, or in a component separate from the read channel, such as a disk controller, or certain operations described above may be performed by a read channel and others by a disk controller. In one embodiment, the read channel and disk controller are implemented as separate integrated circuits, and in an alternative embodiment they are fabricated into a single integrated circuit or system on a chip (SOC). In addition, the control circuitry may include a suitable preamp circuit implemented as a separate integrated circuit, integrated into the read channel or disk controller circuit, or integrated into a SOC.

In one embodiment, the control circuitry comprises a microprocessor executing instructions, the instructions being operable to cause the microprocessor to perform the flow diagrams described herein. The instructions may be stored in any computer-readable medium. In one embodiment, they may be stored on a non-volatile semiconductor memory external to the microprocessor, or integrated with the microprocessor in a SOC. In another embodiment, the instructions are stored on the disk and read into a volatile semiconductor memory when the disk drive is powered on. In yet another embodiment, the control circuitry comprises suitable logic circuitry, such as state machine circuitry.

The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and subcombinations are intended to fall within the scope of this disclosure. In addition, certain method, event or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described tasks or events may be performed in an order other than that specifically disclosed, or multiple may be combined in a single block or state. The example tasks or events may be performed in serial, in parallel, or in some other manner. Tasks or events may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.

While certain example embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the inventions disclosed herein. Thus, nothing in the foregoing description is intended to imply that any particular feature, characteristic, step, module, or block is necessary or indispensable. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein may be made without departing from the spirit of the inventions disclosed herein.