The present invention generally relates to servo systems, and, in particular, relates to methods and systems of robust servo control of high density hard disk drives with dynamic friction in order to further improve positioning accuracy and increase the robustness of servo systems.
Description of the Related Art
Discussion of the Problem to be Solved
Owing to the rapidly increasing demands for high capacity and performance of hard disk drives from industry, servo engineers are required to develop more advanced control strategies. It is projected that the position accuracy of hard disk drives will reach 25,000 tracks per inch (TPI) (less than 1 μm per track) at the end of this century. (See, for example, K. K. Chew, Control system challenges to high track density magnetic disk storage, IEEE Transactions on Magnetics, Vol. 32, 1996, pages 1799-1804.) For a system with such a high accuracy requirement, some nonlinearities currently being neglected or simplified in control system design must be taken into account and reconsidered. The nonlinearities preventing the system accuracy of a hard disk drive from further improvement include the ribbon flexibility, the windage, and the nonlinear friction of the actuator pivot of a hard disk drive.
Friction depends on many factors such as the asperity of contact surfaces, lubrication, velocity, temperature, the force orthogonal to the relative motion, and even the history of motion. Friction is a natural phenomenon that is very hard, if not impossible, to model and that has not yet been completely understood. Friction is generally considered having two different manifestations, i.e., the pre-sliding friction and the sliding friction. (See, for example, B. Armstrong-Hélouvry, P. Dupont and C. Canudas de Wit, A survey of models, analysis tools and compensation methods for control of machines with friction, Automatica, Vol. 30, No. 7, 1994, pages 1083-1138.) In the pre-sliding stage, which is usually in the range of less than 10−5 meters, friction is dominated by the elasticity of the contacting asperity of surfaces. Friction not only depends on both position and velocity of motion, but also exhibits nonlinear dynamic behavior such as hysteresis characteristics with respect to position and velocity as observed by many researchers. (See, for example, B. Armstrong-Hélouvry, et al, A survey of models, analysis tools and compensation methods for control of machines with friction, cited above; D. Abramovitch, F. Wang and G. Franklin, Disk drive pivot nonlinearity modeling part I: frequency domain, Proceedings of the American Control Conference, Baltimore, Md., June 1994, pages 2600-2603; F. Wang, T. Hust, D. Abramovitch and G. Franklin, Disk drive pivot nonlinearity modeling part II: time domain, Proceedings of the American Control Conference, Baltimore, Md., June 1994, pages 2604-2607; K. Eddy and W. Messner, Dynamics affecting tracking bias in hard disk drive rotary actuators, Proceedings of the American Control Conference, Seattle, Wash., June 1995, pp. 1055-1060; and C. Canudas de Wit, H. Olsson, K. J. {dot over (A)}strom and P. Lischinsky, A new model for control of systems with friction, IEEE Transactions on Automatic Control, Vol. 40, No. 3, 1995, pages 419-25.) In the sliding stage, friction is dominated by the lubrication of the contacting surfaces and introduces damping into the system. Friction in the sliding stage is usually represented by various functions of velocity.
The problem associated with friction in hard disk drives has been observed widely by manufacturers. Recently, friction has received more attention due to the new challenges for the high density mass storage techniques in the near future (See, for example, B. Armstrong-Hélouvry, et al, A survey of models, analysis tools and compensation methods for control of machines with friction, cited above; D. Abramovitch, et al., Disk drive pivot nonlinearity modeling part I: frequency domain, cited above; and F. Wang, et al., Disk drive pivot nonlinearity modeling part II: time domain, cited above.) The problems due to friction in hard disk drives are summarized as follows:
For a hard disk drive with positioning accuracy in the micrometer range or higher, friction dynamics in the pre-sliding stage cannot be neglected in control system design. Friction can cause many undesired effects such as steady state errors, tracking lag, and limit cycles in a servo system. For HDD control, one of the important tasks during the track following stage is to reduce the steady state error for improved positioning accuracy because friction reduces system gain in the low frequency range. In view of the difficulty in obtaining a true friction model, a non-model based robust friction compensation method and its variations for implementation are introduced in the present invention, as will be discussed below. To break the restrictions inherent in the traditional Proximate Time-Optimal Servomechanism (PTOS), a triple-mode control scheme and its variations are presented, which introduce extra degrees of freedom in controller design and at the same time, guarantee the continuity of the control signals.
Discussion of Previous Solutions
The positioning control system of the read/write head of a hard disk drive has two tasks: (a) track seeking and (b) track following. In the track seeking stage, the head is forced to move to the target track as quickly as possible. In the track following stage, the head is positioned precisely at the target track.
Integral Control and Observer-based Bias Compensation
The Proximate Time-Optimal Servomechanism (PTOS) is widely employed in the disk drive industry. (See, for example, G. F. Franklin, J. D. Powell and M. L. Workman, Digital Control of Dynamic Systems, Second Edition, Addision-Wesley, 1990.) In a PTOS, the controller switches between two modes: a Proximate Time-Optimal Controller (PTOC) mode for fast seeking when the position error is large, and a linear proportional derivative (PD) controller mode for track following when the position error is within a predefined threshold. Because friction limits the system gain in the low frequency range, the PTOS cannot satisfy the high precision requirement for the new generation of hard disk drives. To solve this problem, the commonly used techniques are (1) integral control and (2) observer-based compensation. (See, for example, G. F. Franklin, et al., Digital Control of Dynamic Systems, cited above.) However, it is well known that an integral control in the positioning system with friction leads to limit cycles. (See, for example, B. Armstrong-Hélouvry, et al, A survey of models, analysis tools and compensation methods for control of machines with friction, cited above; and B. Armstrong and B. Amin, PID control in the presence of static friction: a comparison of algebraic and describing function analysis, Automatica, Vol. 32, No. 5, 1996, pages 679-692.) The observer-based compensation technique was derived under the assumption that the disturbance is a constant bias such that the derivative of the disturbance with respect to time is zero. Unfortunately, in the micrometer level, the dynamics of friction cannot be neglected.
Model-based Friction Compensation
If an accurate friction model can be obtained, a feedforward path can remove the influence of friction. Therefore, suitable friction models for controller design were investigated. (See, for example, D. Abramovitch, et al., Disk drive pivot nonlinearity modeling part I: frequency domain, cited above; F. Wang, et al., Disk drive pivot nonlinearity modeling part II: time domain, cited above; and K. Eddy, et al., Dynamics affecting tracking bias in hard disk drive rotary actuators, cited above.) However, because friction is a complex physical phenomenon which depends on many factors such as the asperity of the contacted surfaces, the situation of lubrication and the temperature, it is difficult to obtain a true model to describe all the physical behaviors of friction. It was found that friction models obtained cannot describe the system behaviors in both frequency and time domains simultaneously. (See, for example, F. Wang, et al., Disk drive pivot nonlinearity modeling part II: time domain, cited above; and K. Eddy, et al., Dynamics affecting tracking bias in hard disk drive rotary actuators, cited above.)
Non-model Based Friction Compensation
Since it is very difficult to obtain a complete friction model, non-model based schemes have been explored. Non-model based compensation schemes can be classified into (1) robust methods and (2) adaptive and learning methods. The usually complicated adaptive and learning methods are not considered to be suitable for the control system of disk drives, which are preferred to be small, simple, compact, reliable and economical. Robust friction compensation has been investigated based on the property of static friction. (See, for example, S. C. Southward, C. J. Radeliff and C. R. MacCluer, Robust nonlinear stick-slip friction compensation, ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 113, 1991, pages 639-645. This property does not hold for dynamic friction, which exhibits hysteretic characteristics with respect to both velocity and position.
In summary, a robust, simple and practical solution which can compensate for the effects of friction for hard disk drives is needed.
The principal object of the present invention is to provide a method and a system that improve the system performance of a hard disk drive for both track seeking and track following.
It is also an object of the present invention to provide a method and a system that overcome the problem of low frequency gain decrease due to friction and thus further improve the positioning accuracy of disk drives.
Another object of the present invention is to provide a method and a system which are also robust to other system nonlinear torque disturbances in disk drives, such as windage and ribbon cable elasticity.
Still another object of the present invention is to provide a method and a system that break the limitation in the conventional PTOS design by introducing an additional mode for extra degrees of freedom in controller design and to improve performance.
Still yet another object of the present invention is to provide a method and a system that provide continuous control signals when controllers switch across modes.
A further object of the present invention is to provide a method to compensate for system nonlinear torque disturbances more effectively, more robustly, more simply and practically.
The foregoing objectives are accomplished by a triple-mode control scheme in accordance with the present invention. The triple-mode control scheme has a conventional PTOC for fast track seeking, a robust compensator for high precision track following, and a bridging control to ensure the continuity of the control signals. In particular, the following measures in the preferred embodiment of the present invention are taken:
One aspect of the present invention is a method to control a disk drive having a head for reading or writing data from a disk, a moveable actuator motor to provide output torque for positioning the head relative to a pre-selected data track on the disk, and a disk drive servo system that provides a command signal to the actuator motor. The disk drive servo system includes a head position signal generator responsive to the position of the head and a position controller that generates the command signal to the power amplifier to move the head to a desired position. The method comprises (1) operating the position controller as a proximate time-optimal controller (PTOC) during a track seeking mode to rapidly move the head to a selected track; (2) operating the position controller as a robust compensator during a track following mode to compensate for torque disturbances; and (3) operating the position controller in a continuous bridge mode when transitioning from the track seeking mode to the track following mode to provide continuity of the command signals to the actuator motor when transitioning from the track seeking mode. Preferably, the position signal generator and the position controller form a position loop, and the act of operating the position controller as a robust compensator comprises (a) determining a bandwidth of the torque disturbances; and (b) selecting one of a lead compensator, a lag compensator, or a lag-lead compensator to change the shape of the frequency response of the position loop.
Another aspect of the present invention is a servo control system incorporated in a disk drive assembly having a head for reading or writing data from a disk, a moveable actuator motor to provide output torque for positioning the head relative to a pre-selected data track on the disk, and a disk drive servo system that provides a command signal to the actuator motor. The disk drive servo system includes a head position signal generator that generates a head position signal responsive to the position of the head and a head position controller that generates the command signal. A state observer is responsive to the command signal and to the head position signal to provide an observed position signal. The servo control system comprises (1) a proximate time-optimal controller (PTOC) that operates in a first mode for track seeking to rapidly move the head to a desired track; (2) a robust compensator that operates in a second mode for track following, the robust compensator including compensation for nonlinear torque disturbances; and (3) a continuous bridge that operates in a third mode between the first mode and the second mode to provide a continuous transition from the first mode to the second mode. Preferably, the head position controller, the head position signal generator and the state observer comprise a position loop, and the robust compensator comprises one of a lead compensator, a lag compensator, or a lag-lead compensator to change the shape of the frequency response of the position loop.
The present invention will be described below in connection with the attached drawing figures, in which:
FIG. 12(a) is a graph of gain versus frequency that illustrates the design principle of the position feedback loop;
FIG. 12(b) is a graph of gain versus frequency that illustrates the open-loop frequency response of the position feedback loop with a phase-lag compensator to increase the gain in the low frequency range;
PTOS Description
To satisfy both the requirements for track seeking and for track following, the Proximate Time-Optimal Servomechanism (PTOS) is widely employed in disk drive industry. (See, for example, G. F. Franklin, et al., Digital Control of Dynamic Systems, cited above.) In the PTOS controller, a nonlinear control function saturates the current amplifier to accelerate the target seeking if the position error is larger than a predefined threshold, and switches to linear control for track following when the position error is smaller than the threshold.
The nonlinear function f(ye) 201 is mathematically described by:
The nonlinear function f(ye) 201 is graphically shown in
To ensure the continuity and smoothness of the control signals during the switching between the two control modes, the position gain k1 in the nonlinear function f(ye) 201 and the velocity gain k2 202 should satisfy the following conditions:
Satisfying the two conditions, guarantees that the tangents of the parabola at the points A and A′ coincides with the straight line at the two points.
In the track following mode (i.e., when |ye|≦yl and f(ye)=k1ye/k2), the controller turns into a linear PD controller. The system dynamics shown in
At the steady state, when {circumflex over (v)}=v=0 and {dot over (v)}=0, there exists a steady state error given by:
The steady state error can be reduced by increasing the position gain k1 as shown in Equation (5). However, as k1 increases, yl decreases. The system approaches time-optimal servo and becomes less robust. In addition, an increase in k1 also leads to an increase in k2 as can be seen from condition in Equation (2) for the continuity and smoothness of the control signal, and subsequently enlarges the system bandwidth shown in FIG. 4. In practice, several resonance frequencies due to flexibility of the actuator arm exist in high frequency range. These resonance frequencies are not allowed to be excited when in operation. If k2 is chosen such that the system bandwidth cannot be enlarged further, then k1 is uniquely determined according to Equation (2) for smooth switching between two control modes. The steady state error in Equation (5) cannot be reduced or removed in this PTOS control scheme.
In fact, the condition in Equation (2) is very restrictive for the gain in the position loop. Since 0<α<1, the maximum gain in the position loop is limited to a half of the gain in the speed loop as shown by:
In Equation (6), Kp and Kv are the equivalent gains in the position and velocity loops respectively. From the theory of control system design, the position loop is a type-1 servo system, whose gain is numerically equal to the cutoff frequency in the bode diagram. As shown in
Structure of the Invention
Friction is a very complex phenomenon, and it is difficult to obtain a mathematical model to completely describe the behavior of friction. However, friction has some advantageous properties which can be explored for controller design to compensate for the influence of friction on a servo system.
Friction dissipates energy, and friction is bounded as shown in
In Equation (7), F0+=F(y,v)|v=0+ and F0−=F(y,v)|v=0−. Therefore the steady state error due to friction is also bounded.
In view of the boundedness of friction and the restrictive limits for the gain in the position loop imposed by the condition in Equation (2) in PTOS control, the bondage of the condition in Equation (2) is broken by the present invention by introducing an extra mode for a triple-mode controller as shown in FIG. 6. The extra mode provides additional degree of freedom in controller design for both seeking and track following. Two thresholds are illustrated in FIG. 6. The first threshold is at position ys. The second threshold is at a position yf. When the error is larger than the first threshold ys, i.e., when the controller is in the track seeking mode or the first mode, the proximate time optimal control is used to saturate to amplifier for fast seeking. When the error is smaller than the second threshold yf, i.e., when the controller is in the track following mode or the third mode, a robust compensator with relatively high gain but small output amplitude is used to compensate for friction and other torque disturbances. When the error is in between the first threshold ys and the second threshold yf, i.e., when the controller is in the second mode, a bridging control is introduced to guarantee the continuous transition between the proximate time optimal control for track seeking and the robust compensator for track following. The position loop gain is enlarged to compensate for friction and other torque disturbances without losing the continuous switching between the two modes for track seeking and track following. Note that Fd in
In actual implementation, there arc several possible variations. If bang-bang control is permitted in practice during the track following mode, then the triple-mode controller has two variations (i.e., first and second alternative embodiments), as shown in FIG. 7 and
To remove the chattering from the control signals in the controllers shown in FIG. 7 and
The controller shown in
An overall block diagram of a preferred embodiment of the invention is schematically illustrated in
The PTOC for track seeking is selected when the absolute value of position error is larger than threshold ys as follows:
The bridge mode is a straight line of the position error ye with a bias Fd, as described by:
In Equation (9), Fd=Fc/(k2k1)+ε, Fc is the friction bound (i.e., maximum friction), and ε>0.
The robust compensator is defined as:
In Equation (10), for 0<β1<1, 0<β2<1, β1 and β2 are the parameters of the corresponding lag-lead compensator. For 0<τ1<1, 0<τ2<1, τ1 and τ2 are the time constants of the filters and kf is the gain of the robust compensator. The lag-lead filter is used here to improve system performance.
To guarantee continuous and smooth switching between control modes fs(ye) and ff(ye), gains k1 and k2 satisfy the following constraints:
Selection of the Parameters in the Invention
Practical implementation of the invention involves the determination of the necessary parameters below. The methods for selecting the parameters are not exclusive, and other methods can also be used.
Determination of Friction Bound Fc
The friction bound Fc can be determined by a simple off-line identification procedure in which a linear position controller with a known gain k1/k2 and a linear speed controller with a known gain k2 are used to drive the actuator, and the position error is measured.
The maximum position error ycm can be used to determine the bound of friction as follows:
Fc=ycmk1k1 (13)
Determination of the Gain k2 in the Speed Loop
The gain k2 in the speed feedback loop determines the system bandwidth. In the design of speed feedback loop, the gain k2 should be chosen such that the cutoff frequency of the open-loop frequency characteristics is ⅕ to ½ of the lowest system resonance frequency to ensure enough phase margin (larger than 30 degrees) and gain margin (larger than 8 dB) as shown in FIG. 4.
Determination of k1, yl and ff(ye)
Once Fc is fixed, k1, y1 and ff(ye) can be obtained from the Equations (8), (10) and (11).
Determination of Gain kf of the Robust Compensator
In the design of the outer position loop, the well designed speed feedback loop can be approximated as a first-order delay element with the equivalent time constant being the inverse of the cutoff frequency of the speed feedback loop. (See, for example, W. Leonhard, Einführung in die Regelungstechnik, 4th Ed., Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig 1987. (in German), (Introduction to Control Engineering and Linear Control Systems, Translated by T. Rajagopalan and D. V R. L. Rao., Berlin, Springer, 1976). Thus, the open loop frequency response of the outer position loop is shown in FIG. 12(a). Since the bandwidth is fixed, the maximum gain of the position loop is:
If this gain cannot satisfy the requirement for system accuracy, a phase-lag filter can be used to increase the gain in the low frequency range while maintaining the same system bandwidth as shown in FIG. 12(b). However, to avoid the limit cycle likely caused, the integral action should be stopped in the range below 100 Hz or so where the dynamic friction is effective. That is:
In the case that the system accuracy requirement is satisfied, but the dynamic performance is not desirable as represented by unacceptable phase and gain margins, a phase-lead filter can be used to increase the phase margin so as to improve the system dynamic performance. Thus, the whole compensator in the position feedback loop is actually a lag-lead compensator, as represented by Equation (10).
Technical Advantages of the Present Invention
The present invention uses the boundedness of friction and the high gain of the robust compensator to compensate for friction in the case that the system bandwidth is limited in the high frequency range due to the flexibility of the actuator arm. By breaking the constraint to the gains in velocity and position loops, the design of the system bandwidth and the system accuracy are broken into two design stages: a first stage designs the velocity feedback loop, and a second stage designs the position feedback loop. In the first stage, the velocity feedback loop is designed according to the system bandwidth limited by the resonance frequency in the high frequency range due to structural flexibility. In the second stage, the position feedback loop is designed to satisfy the requirement for system accuracy by changing the shape of the frequency response through a lead-lag compensator in the case that the system bandwidth is fixed.
The invention is not limited to friction compensation but can also be used for compensation of other torque disturbances with small amplitude within the system bandwidth. As shown in
Although the switching from the track seeking mode to the bridging mode is continuous and smooth, the switching from the bridging mode to the track following mode is only continuous but not smooth. Because the second switching occurs at the moment when system error is much smaller than the first switching, the influence to the system performance due to the non-smoothness of the second switching is quite small. Furthermore, if necessary, the initial value compensation method (such as the one presented in T. Yamaguchi, K. Shishida, S. Tohyama, and H. Hirai, Mode switching control design with initial value compensation and its application to head positioning control on magnetic disk drives, IEEE Transactions on Industrial Electronics, Vol. 43, No. 1, February 1996, pages 65-73) can be used to optimize the switching to improve the transient performance of the second switching.
Simulation Results of the Preferred Embodiment
Numerical simulations based on a FUJITSU hard disk drive were carried out to verify the effectiveness of the invention. In the simulation, the internal system nonlinearity is represented by pivot friction of the bearing with the bristle friction model as proposed in C. Canudas de Wit, et al., A new model for control of systems with friction, cited above.
The bristle friction model captures most of the friction behaviors and is mathematically represented as:
In Equation (16), z(t) describes the average deflection of the bristles, and g(v) is a positive function depending on many factors such as material properties, lubrication and temperature. The factors σ0, σ1 and σ2 are stiffness, damping and viscous friction coefficients, respectively. The factor v, is the Stribeck velocity. The value Fc is the Coulomb friction level. The value Fs is the level of stiction (i.e., static friction).
FIG. 14(a) illustrates the decrease of system gain in the low-frequency range due to friction. The dynamic behaviors of friction are illustrated in FIG. 14(b) as the characteristics of friction with respect to velocity, and are illustrated in FIG. 14(c) as the characteristics of friction with respect to position. FIGS. 15(a) and 15(b) illustrate the torque and position disturbance signals used in the simulation, in which the nominal position is chosen as one track, y0=1 μm, and the nominal torque is set to be the maximum torque, T0=0.0624 Newton-meters.
In the discrete simulation, the sampling time is chosen as 100 μs. The actuator arm flexibility is considered as a second order resonance model in the high frequency range of 3000 Hz with a damping factor of 0.08. Simulation results show that a k2 leading to speed feedback loop bandwidth of 1300 s−1 with a phase margin of 89 degrees and a gain margin 8.6 dB can be selected to guarantee that no resonance is excited. The position loop that includes the robust compensator has a phase margin of 64.5 degree, a gain margin of 27.9 dB, and a bandwidth of about 1296 s−1. For the friction compensator having a lag-lead filter, the parameters are chosen as τ1=0.75 milliseconds, β1=0.06 and τ2=10 milliseconds, β2=0.1.
In the simulations, one track is assumed to be 1 μm, and a step change of 100 tracks is conducted. For the conventional PFOS, FIG. 16(a) presents the step responses of position and position error, and FIG. 16(b) presents the step responses of velocity and control torque. There exists a steady state position error of about 0.25 track due to friction, i.e., approximately 250 nanometers. The improved dynamic responses due to this invention are shown in FIGS. 17(a) and 17(b), where the steady state position error ye is compensated for almost to zero, and the overshoot is less than 0.2 track (i.e., less than approximately 200 nanometers).
FIGS. 18(a) and 18(b) present the dynamic behavior of the system with torque disturbance when PTOS is used. The tracking error due to the disturbance can be observed clearly.
FIGS. 19(a) and 19(b) illustrate the improved dynamic behaviors of the system with torque disturbance when the present invention is used.
FIGS. 20(a) and 20(b) illustrate the dynamic behavior of the system with position disturbance when PTOS is used. It can be seen that the resulted tracking error has much more high frequency components.
FIGS. 21(a) and 21(b) illustrate the improved dynamic behavior of the system with position disturbance when the present invention is used.
FIGS. 22(a) and 22(b) illustrate the dynamic behavior of the system with both torque and position disturbances when PTOS is used.
FIGS. 23(a) and 23(b) illustrate the improved dynamic behavior of the system with both torque and position disturbances when the present invention is used.
The forgoing description of the preferred embodiment of the invention has been presented for the purpose of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Many modifications and variations are possible in the light of foregoing teaching. It is intended that the scope of the invention be limited not by the above detailed description of the preferred embodiment of the invention, but rather by the claims appended hereto.
Number | Date | Country | Kind |
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200000097 | Jan 2000 | SG | national |
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/SG01/00002 | 1/10/2001 | WO | 00 | 11/8/2002 |
Publishing Document | Publishing Date | Country | Kind |
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WO01/52246 | 7/19/2001 | WO | A |
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2 328 780 | Mar 1999 | GB |
Number | Date | Country | |
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20030128458 A1 | Jul 2003 | US |